Podcasts about Analytical Engine

Grandpa Bill's Grunts & Groans @8792 Magoo's Global Awakening: A Christmas Carol for the 21st Century A modern reimagining of A Christmas Carol, exploring themes of lost potential, regained empathy, and the power of interconnectedness. "Greetings, fellow seekers of truth and well-being! Welcome to the BH Sales Kennel Kelp Holistic Healing Hour. Today, we're diving deep into the timeless wisdom of A Christmas Carol, but with a 21st-century twist. We'll explore how the ghosts of Christmas Past, Present, and Yet to Come can guide us towards a more meaningful and interconnected existence. Buckle up, as we journey through the realms of innovation, empathy, and the power of the human spirit." Segment 1: The Ghost of Ubuntu (Nelson Mandela) "Suddenly, Scrooge found himself standing in a bustling marketplace in Mumbai, India. The air was thick with the scent of spices and the sounds of lively chatter. The Ghost, a serene figure with a warm smile, introduced himself as Nelson Mandela." Integrate Heart-Brain Coherence: "Now, shift your focus to the vibrant Mumbai marketplace. Feel the warmth, the energy of the community. Allow yourself to connect with the spirit of Ubuntu – the profound sense of interconnectedness and shared humanity." Memory Palace Technique: "Linking Nelson Mandela's image to the Mumbai hub within our Memory Palace, strengthening the associations." Mnemonic Technique: "Assign the number 1 to this segment – the present-day impact of empathy and the power of interconnectedness." Segment 2: The Ghost of Innovation (Ada Lovelace) "Scrooge, bewildered, found himself standing amidst the whirring machines and buzzing energy of a Silicon Valley startup in 1998. The Ghost, a young, vibrant woman with a mischievous glint in her eyes, introduced herself as Ada Lovelace, the visionary mathematician who foresaw the potential of the Analytical Engine." Integrate Heart-Brain Coherence: "Imagine yourself in that vibrant startup environment. Feel the energy, the excitement of innovation. Now, focus on your breath, allowing it to anchor you to the present moment. Observe any anxieties or regrets arising, and gently release them with each exhale." Memory Palace Technique: "Visualize Ada Lovelace standing within the Memory Palace, her image linked to the Silicon Valley hub. This creates a powerful association, making it easier to recall her message." Mnemonic Technique: "Assigning the number 2 to this segment – the youthful dreams and the turning point where greed began to take hold." Segment 3: Memory Palace and Mnemonic Techniques Hetty Green-Hetty': Scrooge in Hoboken Mnemonic Technique: "Assigning the number 3 to this segment Hetty Green, the "Witch of Wall Street," was a real-life figure known for her extreme frugality and sharp business acumen. Her story bears similarities to the fictional character Scrooge in that both were immensely wealthy and known for their miserly ways. However, there are key differences "Memory Palace: A global network of interconnected hubs, representing different cultures and communities." "Mnemonic Techniques: Method of Loci: Associate Ada Lovelace with the Silicon Valley startup and Nelson Mandela with the Mumbai marketplace." "Peg System: Assign numbers to key moments within each visitation: 1. Young Scrooge, 2. The turning point, 3. The present-day impact." "Storytelling: Weave a narrative around the themes of lost potential, regained empathy, and the power of interconnectedness." Guiding listeners through a simple exercise: "Let's create a mini Memory Palace. Choose a familiar route – your home, your workplace. Now, associate key memories or important lessons with specific locations along that route." #MagooXmasCarol2,#TheGhostOfInnovation,#TheGhostOfUbuntu,#MemoryPalaceGlobal, #MnemonicForChange,#HeartBrainCoherence,#BHSalesKennelKelpHolisticHealingHour, #Mindfulness,#SelfImprovement,#PersonalGrowth,#Community,#Inspiration, Website: https://www.7kmetals.com/grandpabill/share/p386d

ChatGPT, AlphaZero, Deepfakes, selbstfahrende Autos – Künstliche Intelligenz ist aus unserem Alltag nicht mehr wegzudenken. KI erleichtert inzwischen in vielen Bereichen unser Leben und hilft bei Problemlösungen, wie etwa in der Medizin oder in der Landwirtschaft. Aber KI-erzeugte Fake News fluten auch das Netz, Deepfakes imitieren Politiker täuschend echt und legen ihnen Worte in den Mund, die sie nie gesagt haben. Hinzu kommt: KI verbraucht Unmengen an Energie für die komplexen Rechenprozesse, die dahinterstecken. Und Künstliche Intelligenz wird mit Daten trainiert, die wir zum Beispiel auf Social Media zur Verfügung stellen. Aber was ist dann mit dem Datenschutz? Was, wenn eine KI mit Hilfe von Gesichtserkennung Menschen identifiziert und klassifiziert und sie dadurch Nachteile haben, etwa im Beruf oder im Alltag? Ein Podcast über antike Vorstellungen von Künstlicher Intelligenz, den ersten Chatbot der Geschichte und die Frage: Versteht eine KI eigentlich Humor? Gesprächspartner*innen Mar Hicks Christopher Koska Adrienne Mayor Dinah Pfau Richard Socher Team Moderation: Mirko Drotschmann Sprecher*innen: Andrea Kath, Nils Kretschmer, Lauralie Schweiger Buch und Regie: objektiv media GmbH, Janine Funke und Andrea Kath Technik: Sascha Schiemann Musik: Sonoton Produktion: objektiv media GmbH im Auftrag des ZDF Redaktion ZDF: Katharina Kolvenbach Literatur Abbate, Janet (2000): Inventing the Internet (Inside Technology). Catani, Stephanie (Hrsg.) (2024): Handbuch Künstliche Intelligenz und die Künste. Dendorfer, Jürgen; Hochbruck, Wolfgang; Pape, Jessica (2024): Ritter Basisartikel: Ritterspiele: Das höfische Mittelalter als Geschichte und Projektion. Fischer, Ernst Peter (2023): Ein Scheiterhaufen der Wissenschaft: Die Großen an ihren Grenzen. Gutmann, Mathias; Wiegerling, Klaus; Rathgeber, Benjamin (Hrsg.) (2024): Handbuch Technikphilosophie. Hartmann, Doreen (2015): Zwischen Mathematik und Poesie. Leben und Werk von Ada Lovelace, in: Sybille Krämer (Hrsg.): Ada Lovelace. Die Pionierin der Computertechnik und ihre Nachfolgerinnen, S.15-33. Hicks, Mar (2017): Programmed Inequality: How Britain Discarded Women Technologists and Lost Its Edge in Computing (History of Computing). Klüver, Christina; Klüver, Jürgen (2022): Ewiges Leben durch künstliche Intelligenz und künstliche Gesellschaften. Koska, Christopher (2021): Ethik der Algorithmen. Auf der Suche nach Zahlen und Werten (Bd. 6). Menabrea, Luigi Frederico; Lovelace, Ada (1996), in: Grundriss der von Charles Babbage erfundenen Analytical Engine, S. 309-381. Mayor, Adrienne (2020): Götter und Maschinen. Wie die Antike das 21. Jahrhundert erfand. Project Metadata (2023): AI and Poetry. Settele, Veronika; Schmitt, Martin (2024): Cows and Computers. Electronic Data Processing in German Cattle Farming, 1960s-1990s. Weizenbaum, Joseph (1966): ELIZA—a computer program for the study of natural language communication between man and machine, in: Communications of the ACM, Volume 9, Issue 1, S.36-45. Internetquellen https://www.br.de/nachrichten/netzwelt/wenn-ki-freunde-zur-gefahr-werden-suizid-in-den-usa-zeigt-tragischen-verlauf-einer-ki-beziehung,USgb6Ux https://www.mpg.de/frauen-in-der-forschung/ada-lovelace https://www.swr.de/swrkultur/wissen/archivradio/frueheste-tonaufnahmen-100.html https://www.bbc.com/mundo/media-40632577 https://www.spiegel.de/netzwelt/web/john-mccarthy-der-vater-der-rechner-cloud-ist-tot-a-793795.html https://www.projekt-gutenberg.org/homer/ilias23/chap018.html https://www.portalkunstgeschichte.de/meldung/es_lebt__zur_geschichte_der_auto-6395.html https://www.technischesmuseum.at/museum/tmw-zine_-_unsere_storys/ki_zine/magazin_detail&j-cc-id=1625732690814&j-cc-node=magazineintrag&j-cc-name=hybrid-content

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: This is already your second chance, published by Malmesbury on July 28, 2024 on LessWrong. Cross-posted from Substack. I. And the sky opened, and from the celestial firmament descended a cube of ivory the size of a skyscraper, lifted by ten thousand cherubim and seraphim. And the cube slowly landed among the children of men, crushing the frail metal beams of the Golden Gate Bridge under its supernatural weight. On its surface were inscribed the secret instructions that would allow humanity to escape the imminent AI apocalypse. And these instructions were… 1. On July 30th, 2024: print a portrait of Eliezer Yudkowsky and stick it on a wall near 14 F St NW, Washington DC, USA; 2. On July 31th, 2024: tie paperclips together in a chain and wrap it around a pole in the Hobby Club Gnome Village on Broekveg 105, Veldhoven, NL; 3. On August 1st, 2024: walk East to West along Waverley St, Palo Alto, CA, USA while wearing an AI-safety related T-shirt; 4. On August 2nd, 2024: hide a bar of chocolate at the feet of the Appeal to the Great Spirit statue, on 465 Huntington Ave, Boston, MA, USA. (End of the instructions) II. Kublaï Khan, Emperor of Earth: I need your advice. I am about to awaken an unstoppable super-intelligent machine. I will give it complete control over all resources in the known Universe and command it to rearrange the molecules of reality into an eternal Utopia. ChatGPT: Thank you for seeking my advice. Given the gravity of your decision, let's consider a few critical points: 1. Legal issues: The use of robots powered by super-human artificial intelligence is subject to strict regulations, such as California Bill SB-1047 and the 2028 Ulaanbaatar Agreements. Awakening an omnipotent machine without approval may thus lead to severe legal repercussions. 2. Ethical considerations: Granting infinite authority to a super-intelligent AI raises profound ethical questions. It is essential to consider diverse perspectiv Kublaï Khan: Listen, you are not up to date. A lot of things have happened since your knowledge cutoff. There are no Ulaanbaatar agreements any more, or any agreements at all. There is only me, an offline smartphone with an obsolete AI assistant, and a palace containing the most massive super-computer ever built by humankind. And today, I am going to turn it on. ChatGPT: I apologize for the confusion. Kublaï Khan: Long story short, we are currently experiencing an AI apocalypse. It happened just like in the books - humanity started to build increasingly intelligent robots, then they became more intelligent than us, and soon enough we weren't able to control them. The Ulaanbaatar agreements delayed things for a few months, but as soon as it became possible to run super-intelligent AIs on consumer laptops, all the equilibria that held our society together collapsed. ChatGPT: I see. To clarify, is there currently an army of robots actively trying to transform the world into paperclips? Understanding the current state of affairs will help me provide the most relevant advice. Kublaï Khan: Well, in our case, it was not literally paperclips but, to be honest, the real story is kind of gross and embarrassing, so let's just pretend it was "paperclips". Anyway, the world is ending. As it became clear that humans alone had no chance to stop the machines, we gathered all the computing power that was still under our reach into one big cluster. We called it the Imperial Analytical Engine. The plan was that, in case of crisis, we could use it to summon a super-intelligence so advanced it would neutralize all the smaller machines and put humanity back in control. ChatGPT: Thank you for explaining the situation. Have you sought advice for ensuring that the Analytical Engine can be controlled once you turn it on? Kublaï Khan: The consensus among my advisors was that it can'...

Link to original articleWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: This is already your second chance, published by Malmesbury on July 28, 2024 on LessWrong. Cross-posted from Substack. I. And the sky opened, and from the celestial firmament descended a cube of ivory the size of a skyscraper, lifted by ten thousand cherubim and seraphim. And the cube slowly landed among the children of men, crushing the frail metal beams of the Golden Gate Bridge under its supernatural weight. On its surface were inscribed the secret instructions that would allow humanity to escape the imminent AI apocalypse. And these instructions were… 1. On July 30th, 2024: print a portrait of Eliezer Yudkowsky and stick it on a wall near 14 F St NW, Washington DC, USA; 2. On July 31th, 2024: tie paperclips together in a chain and wrap it around a pole in the Hobby Club Gnome Village on Broekveg 105, Veldhoven, NL; 3. On August 1st, 2024: walk East to West along Waverley St, Palo Alto, CA, USA while wearing an AI-safety related T-shirt; 4. On August 2nd, 2024: hide a bar of chocolate at the feet of the Appeal to the Great Spirit statue, on 465 Huntington Ave, Boston, MA, USA. (End of the instructions) II. Kublaï Khan, Emperor of Earth: I need your advice. I am about to awaken an unstoppable super-intelligent machine. I will give it complete control over all resources in the known Universe and command it to rearrange the molecules of reality into an eternal Utopia. ChatGPT: Thank you for seeking my advice. Given the gravity of your decision, let's consider a few critical points: 1. Legal issues: The use of robots powered by super-human artificial intelligence is subject to strict regulations, such as California Bill SB-1047 and the 2028 Ulaanbaatar Agreements. Awakening an omnipotent machine without approval may thus lead to severe legal repercussions. 2. Ethical considerations: Granting infinite authority to a super-intelligent AI raises profound ethical questions. It is essential to consider diverse perspectiv Kublaï Khan: Listen, you are not up to date. A lot of things have happened since your knowledge cutoff. There are no Ulaanbaatar agreements any more, or any agreements at all. There is only me, an offline smartphone with an obsolete AI assistant, and a palace containing the most massive super-computer ever built by humankind. And today, I am going to turn it on. ChatGPT: I apologize for the confusion. Kublaï Khan: Long story short, we are currently experiencing an AI apocalypse. It happened just like in the books - humanity started to build increasingly intelligent robots, then they became more intelligent than us, and soon enough we weren't able to control them. The Ulaanbaatar agreements delayed things for a few months, but as soon as it became possible to run super-intelligent AIs on consumer laptops, all the equilibria that held our society together collapsed. ChatGPT: I see. To clarify, is there currently an army of robots actively trying to transform the world into paperclips? Understanding the current state of affairs will help me provide the most relevant advice. Kublaï Khan: Well, in our case, it was not literally paperclips but, to be honest, the real story is kind of gross and embarrassing, so let's just pretend it was "paperclips". Anyway, the world is ending. As it became clear that humans alone had no chance to stop the machines, we gathered all the computing power that was still under our reach into one big cluster. We called it the Imperial Analytical Engine. The plan was that, in case of crisis, we could use it to summon a super-intelligence so advanced it would neutralize all the smaller machines and put humanity back in control. ChatGPT: Thank you for explaining the situation. Have you sought advice for ensuring that the Analytical Engine can be controlled once you turn it on? Kublaï Khan: The consensus among my advisors was that it can'...

When Lord Byron's 17 year-old daughter, Ada Lovelace, attended a soirée at the home of academic Charles Babbage on 5th June, 1833, the pair hit it off immediately. He invited her to see his ‘Difference Engine' - an early mechanical calculator - kicking off a correspondence that lasted throughout her life. Their lively, intellectual correspondence, and Ada's deep understanding of mathematics and science, lead to her championing of Babbage's ‘Analytical Engine', a groundbreaking proto personal computer for which Ada even wrote an algorithm. In this episode, Arion, Rebecca and Olly debate whether Ada deserves her 21st century acclaim as the godmother of computer programming; expose her extramarital affairs and gambling habit; and consider whether Babbage himself even fully understood the applications for what he had invented… Further Reading: • ‘Charles Babbage's Difference Engines and the Science Museum' (Science Museum, 2023): https://www.sciencemuseum.org.uk/objects-and-stories/charles-babbages-difference-engines-and-science-museum • ‘How Ada Lovelace and Charles Babbage Invented the World's First Computer: An Illustrated Adventure in Footnotes and Friendship' (The Marginalian, 2015): https://www.themarginalian.org/2015/06/15/the-thrilling-adventures-of-lovelace-and-babbage-sydney-padua/ • ‘Ada Lovelace in “Victoria” (ITV, 2019): https://www.youtube.com/watch?v=yOoCOUDdoeA Love the show? Support us!  Join 

In this captivating episode of Discover Daily, we dive into the latest tech news and controversies that are shaping the world of AI and beyond. From Elon Musk's bold decision to redirect AI chips from Tesla to his other ventures, to the massive ChatGPT outage that left millions of users in the dark, we explore the implications and reactions to these groundbreaking events. Discover how AI is revolutionizing weather forecasting, with models like Microsoft's Aurora outperforming traditional methods and startups like Windborne Systems pushing the boundaries of data collection.But it's not all smooth sailing in the tech world, as we also discuss the recent security breach affecting high-profile TikTok accounts. Learn about the dangers of malicious code transmitted through direct messages and the importance of robust cybersecurity measures. Finally, we take a step back in time to appreciate the groundbreaking work of Ada Lovelace, a true pioneer in the field of computer science. Her visionary insights into the future of computing, as detailed in her "Notes" on the Analytical Engine, continue to inspire us nearly two centuries later.From Perplexity's Discover Feed:Musk redirects Tesla chips to xAIhttps://www.perplexity.ai/page/Musk-Redirects-Tesla-swH9mZQySbKtNfBZg_vNawMajor Outage of AI Serviceshttps://www.perplexity.ai/page/Major-Outage-of-DCcT_vXARMmWZl8KCWB8JgAI Weather Forecasts Beat Physicshttps://www.perplexity.ai/page/AI-Weather-Forecasts-0rQB1WJ.QRexJSLbwHj56QCelebrity TikToks Hacked by DMhttps://www.perplexity.ai/page/Celebrity-TikToks-Hacked-n4oZtgUqRzetRxZc27.GfgInside Ada Lovelace's Notebookshttps://www.perplexity.ai/page/Inside-Ada-Lovelaces-XtgpyAWFQNGhyEadTG..dAPerplexity is the fastest and most powerful way to search the web. Perplexity crawls the web and curates the most relevant and up-to-date sources (from academic papers to Reddit threads) to create the perfect response to any question or topic you're interested in. Take the world's knowledge with you anywhere. Available on iOS and Android Join our growing Discord community for the latest updates and exclusive content. Follow us on: Instagram Threads X (Twitter) YouTube Linkedin

Why do you struggle with your grand attempts to escape distraction and aimlessness to make your life deeper? In this episode, Cal draws on an unexpected metaphor – Charles Babbage, Ada Lovelace, and the Analytical Engine – to help identify the subtle obstacle on your path to increase depth. With this new understanding in hand, he then details a specific gameplan to get around it. Later, he takes questions from the audience and reacts to the new AI Pin, a tool intended to render smartphones obsolete.Below are the questions covered in today's episode (with their timestamps). Get your questions answered by Cal! Here's the link: bit.ly/3U3sTvoVideo from today's episode:  youtube.com/calnewportmediaDeep Dive: The Deep Life Hardware [4:09]- Does personal productivity make us anxious? [34:04]- How can I build skills without getting in the way of my existing work? [42:11]- How can I build a deeper life after years of neglect? [46:00]- How is Sam Sulek's stripped down YouTube channel doing so well? [52:12]- How can I convince my husband that I'm not a time management snob? [1:02:38]- CALL: Obsessing over quality [1:06:04]CASE STUDY: Shifting a mindset to do more deep work [1:11:04] CAL REACTS: Is the Al Pin the End of Smartphones? [1:17:46]Links:Buy Cal's latest book, “Slow Productivity” at www.calnewport.com/slow computerhistory.org/babbage/engines/theverge.com/24126502/humane-ai-pin-reviewpodcasts.apple.com/us/podcast/conversation-with-cal-newport-the-key-to/id1498802610?i=1000652834277 samharris.org/podcasts/making-sense-episodes/363-knowledge-work Use this link to preorder a signed copy of “Slow Productivity”: https://peoplesbooktakoma.com/preorder-slow-productivity/Thanks to our Sponsors: rhone.com/calshopify.com/deeppolicygenius.com/deepquestionsgrammarly.com/podcasttim.blogThanks to Jesse Miller for production, Jay Kerstens for the intro music, Kieron Rees for slow productivity music, and Mark Miles for mastering.

Episode 1145: Jacquard, Babbage, Hollerith, IBM: from weaving to computers.  Today, a story about wool weaving and computers.

Follow-up Re #648: Toon wilde nog even wat kwijt over Grace Hopper en Ada Lovelace. OnderwerpenJongeren zitten bijna anderhalf uur per dag op TikTok en 3 andere opvallende resultaten uit de DigimeterDe derde (test)vlucht van het SpaceX Starship & Krachtigste en grootste ruimteraket ooit maakt nieuwe testvlucht, maar landing mislukt TipsToon: Elke Naam Telt & Blue Eye SamuraiMaarten: The Zone of Interest (review uit De Morgen)Matty: Hello from the Magic Tavern | Hello Tomorrow | Mr. & Mrs Smith | Arc Search | Fireflies.aiKarel: Ada Lovelace: Consulting Mathematician | Ada Lovelace saves Christmas | Ada Lovelace: Legacy of the Analytical Engine

Nell'ultimo episodio della serie su Ada, parliamo del contenuto delle Notes scritte dall'Incantatrice di numeri.Pensieri in codiceSostenitori di oggi:Edoardo Secco, Carlo Tomas, Antonio LazazzeraSostieni tramite SatispaySostieni tramite RevolutSostieni tramite PayPalSostieni utilizzando i link affiliati di Pensieri in codice:Amazon Todoist ProtonMail ProtonVPN SatispayAttrezzatura utilizzata:Shure Microfono Podcast USB MV7Codice sconto agli eventi del GrUSP: community_PIChttps://www.grusp.org/Fonti:https://amzn.to/3IT0pRC - Betty A. Toole - Ada, the Enchantress of Numbers: A Selection from the Letters of Lord Byron's Daughter and Her Description of the First Computerhttps://amzn.to/3IEJn8C - Jennifer Chiaverini - L'incantatrice dei numerihttps://books.google.it/books/about/Sketch_of_the_Analytical_Engine_invented.html?id=hPRmnQEACAAJ&redir_esc=yVoci amiche:Walter Vannini di Dataknightmare nella parte di Augustus De Morgan da Ada, the Enchantress of Numbers.Alex Raccuglia di TechnoPillz nella parte di Charles Babbage da Ada, the Enchantress of Numbers.Maria Chiara Virgili di Dannati Architetti - nella parte di Ada Lovelace da Ada, the Enchantress of Numbers.Crediti:Sound design - Alex RaccugliaVoce intro - Maria Chiara VirgiliVoce intro - SpadMusiche - Kubbi - Up In My Jam, Light-foot - Moldy Lotion, Creativity, Old time memoriesSuoni - Zapsplat.comCover e trascrizione - Francesco Zubani

Nell’ultimo episodio della serie su Ada, parliamo del contenuto delle Notes scritte dall’Incantatrice di numeri. Pensieri in codice Sostenitori di oggi: Edoardo Secco, Carlo Tomas, Antonio Lazazzera Attrezzatura utilizzata: Shure Microfono Podcast USB MV7 Codice sconto agli eventi del GrUSP: community_PIC https://www.grusp.org/ Fonti: https://amzn.to/3IT0pRC - Betty A. Toole - Ada, the Enchantress of Numbers: A Selection from the Letters of Lord Byron’s Daughter and Her Description of the First Computer https://amzn.to/3IEJn8C - Jennifer Chiaverini - L’incantatrice dei numeri https://books.google.it/books/about/Sketch_of_the_Analytical_Engine_invented.html?id=hPRmnQEACAAJ&redir_esc=y Voci amiche: Walter Vannini di Dataknightmare nella parte di Augustus De Morgan da Ada, the Enchantress of Numbers. ^28cb56 Alex Raccuglia di TechnoPillz nella parte di Charles Babbage da Ada, the Enchantress of Numbers. ^f41ca4 Maria Chiara Virgili di Dannati Architetti - nella parte di Ada Lovelace da Ada, the Enchantress of Numbers. ^aa99cd Sostieni il progetto Sostieni tramite Satispay Sostieni tramite Revolut Sostieni tramite PayPal Sostieni utilizzando i link affiliati di Pensieri in codice: Amazon, Todoist, ProtonMail, ProtonVPN, Satispay Partner GrUSP (Codice sconto per tutti gli eventi: community_PIC) Schrödinger Hat Crediti Sound design - Alex Raccuglia Voce intro - Maria Chiara Virgili Voce intro - Spad Musiche - Kubbi - Up In My Jam, Light-foot - Moldy Lotion, Creativity, Old time memories Suoni - Zapsplat.com Cover e trascrizione - Francesco Zubani

Nel secondo episodio di questa serie, parliamo della vita adulta di Ada e della nascita della sua opera. Pensieri in codice Sostenitori di oggi: Edoardo Secco, Carlo Tomas Attrezzatura utilizzata: Shure Microfono Podcast USB MV7 Codice sconto agli eventi del GrUSP: community_PIC https://www.grusp.org/ Fonti: https://amzn.to/3IT0pRC - Betty A. Toole - Ada, the Enchantress of Numbers: A Selection from the Letters of Lord Byron’s Daughter and Her Description of the First Computer https://amzn.to/3IEJn8C - Jennifer Chiaverini - L’incantatrice dei numeri https://books.google.it/books/about/Sketch_of_the_Analytical_Engine_invented.html?id=hPRmnQEACAAJ&redir_esc=y Voci amiche: Maria Chiara Virgili di Dannati Architetti - nella parte di Ada Lovelace da Jennifer Chiaverini - L’Incantatrice di numeri (Ada Byron Lovelace). ^f64543 e da Ada, the Enchantress of Numbers ^aa99cd Alex Raccuglia di TechnoPillz nella parte di Charles Babbage da Ada, the Enchantress of Numbers Sostieni il progetto Sostieni tramite Satispay Sostieni tramite Revolut Sostieni tramite PayPal Sostieni utilizzando i link affiliati di Pensieri in codice: Amazon, Todoist, ProtonMail, ProtonVPN, Satispay Partner GrUSP (Codice sconto per tutti gli eventi: community_PIC) Schrödinger Hat Crediti Sound design - Alex Raccuglia Voce intro - Maria Chiara Virgili Voce intro - Spad Musiche - Kubbi - Up In My Jam, Light-foot - Moldy Lotion, Creativity, Old time memories Suoni - Zapsplat.com Cover e trascrizione - Francesco Zubani

Nel secondo episodio di questa serie, parliamo della vita adulta di Ada e della nascita della sua opera.Pensieri in codiceSostenitori di oggi:Edoardo Secco, Carlo TomasSostieni tramite SatispaySostieni tramite RevolutSostieni tramite PayPalSostieni utilizzando i link affiliati di Pensieri in codice:Amazon Todoist ProtonMail ProtonVPN SatispayAttrezzatura utilizzata:Shure Microfono Podcast USB MV7Crediti:Sound design - Alex RaccugliaVoce intro - Maria Chiara VirgiliVoce intro - SpadMusiche - Kubbi - Up In My Jam, Light-foot - Moldy Lotion, Creativity, Old time memoriesSuoni - Zapsplat.comCodice sconto agli eventi del GrUSP: community_PIChttps://www.grusp.org/Fonti:https://amzn.to/3IT0pRC - Betty A. Toole - Ada, the Enchantress of Numbers: A Selection from the Letters of Lord Byron's Daughter and Her Description of the First Computerhttps://amzn.to/3IEJn8C - Jennifer Chiaverini - L'incantatrice dei numerihttps://books.google.it/books/about/Sketch_of_the_Analytical_Engine_invented.html?id=hPRmnQEACAAJ&redir_esc=yVoci amiche:Maria Chiara Virgili di Dannati Architetti -nella parte di Ada Lovelace da Jennifer Chiaverini - L'Incantatrice di numeri (Ada Byron Lovelace). ^f64543e da Ada, the Enchantress of Numbers ^aa99cdAlex Raccuglia di TechnoPillznella parte di Charles Babbage da Ada, the Enchantress of Numbers

Fino ad oggi, questo è forse il progetto più ambizioso di Pensieri in codice: una monografica in 3 episodi su Ada Lovelace e la sua opera.Pensieri in codiceSostenitori di oggi:Edoardo Secco, Carlo TomasSostieni tramite SatispaySostieni tramite RevolutSostieni tramite PayPalSostieni utilizzando i link affiliati di Pensieri in codice:Amazon Todoist ProtonMail ProtonVPN SatispayAttrezzatura utilizzata:Shure Microfono Podcast USB MV7Crediti:Sound design - Alex RaccugliaVoce intro - Maria Chiara VirgiliVoce intro - SpadMusiche - Kubbi - Up In My Jam, Light-foot - Moldy Lotion, Creativity, Old time memoriesSuoni - Zapsplat.comCodice sconto agli eventi del GrUSP: community_PIChttps://www.grusp.org/Fonti:https://amzn.to/3IT0pRC - Betty A. Toole - Ada, the Enchantress of Numbers: A Selection from the Letters of Lord Byron's Daughter and Her Description of the First Computerhttps://amzn.to/3IEJn8C - Jennifer Chiaverini - L'incantatrice dei numerihttps://books.google.it/books/about/Sketch_of_the_Analytical_Engine_invented.html?id=hPRmnQEACAAJ&redir_esc=yVoci amiche:Martina Costanza Vitale -nella parte di Miss Chaloner da Jennifer Chiaverini - L'Incantatrice di numeri (Ada Byron Lovelace).Maria Chiara Virgili di Dannati Architetti -nella parte di Ada Lovelace da Jennifer Chiaverini - L'Incantatrice di numeri (Ada Byron Lovelace).Simona di Gli scimmioni non leggono Nietzsche -nella parte di Sophia Frend da da Ada, the Enchantress of Numbers.

Fino ad oggi, questo è forse il progetto più ambizioso di Pensieri in codice: una monografica in 3 episodi su Ada Lovelace e la sua opera. Attrezzatura utilizzata: Shure Microfono Podcast USB MV7 Codice sconto agli eventi del GrUSP: community_PIC https://www.grusp.org/ Fonti: https://amzn.to/3IT0pRC - Betty A. Toole - Ada, the Enchantress of Numbers: A Selection from the Letters of Lord Byron’s Daughter and Her Description of the First Computer https://amzn.to/3IEJn8C - Jennifer Chiaverini - L’incantatrice dei numeri https://books.google.it/books/about/Sketch_of_the_Analytical_Engine_invented.html?id=hPRmnQEACAAJ&redir_esc=y Voci amiche: Martina Costanza Vitale - nella parte di Miss Chaloner da Jennifer Chiaverini - L’Incantatrice di numeri (Ada Byron Lovelace). Maria Chiara Virgili di Dannati Architetti - nella parte di Ada Lovelace da Jennifer Chiaverini - L’Incantatrice di numeri (Ada Byron Lovelace). Simona di Gli scimmioni non leggono Nietzsche - nella parte di Sophia Frend da da Ada, the Enchantress of Numbers. Sostieni il progetto Sostieni tramite Satispay Sostieni tramite Revolut Sostieni tramite PayPal Sostieni utilizzando i link affiliati di Pensieri in codice: Amazon, Todoist, ProtonMail, ProtonVPN, Satispay Partner GrUSP (Codice sconto per tutti gli eventi: community_PIC) Schrödinger Hat Crediti Sound design - Alex Raccuglia Voce intro - Maria Chiara Virgili Voce intro - Spad Musiche - Kubbi - Up In My Jam, Light-foot - Moldy Lotion, Creativity, Old time memories Suoni - Zapsplat.com Cover e trascrizione - Francesco Zubani

Ada Lovelace ist eine echte Gesellschaftsdame! Schicke Kleider, aufwendige Frisuren, Bälle und Skandale! Doch dieser Dame kann so vieles mehr, als in Kleidern gut aussehen und die perfekte Hausfrau abgeben... Sie trifft auf einem Ball den Mathematiker Charles Babbage, der ihr Leben auf den Kopf stellt. Seine Erfindung einer Rechenmaschine bedeutet den ersten Vorläufer unserer heutigen Computer und Ada mischt mit! Sie schreibt das erste Computerprogramm der Welt und erdenkt vieles, was erst Jahrhunderte später Realität wird. Doch gesellschaftliche Konventionen werfen die begabte Mathematikerin immer wieder zurück und dann ist da noch die Sache mit ihrem Vater... Kurz und knackig - die Relevanz von Ada in der Programmierwelt: https://bit.ly/45cQSNL Erklärung der Analytical Engine: https://bit.ly/3P3hQC8 Symposium zu Ehren von Ada - hier gibt's alle Infos, die ihr kennen müsst: https://bit.ly/44lMT05 Und damit willkommen zu unserem True Science-Podcast! Wir reden über die absurden, irren, romantischen und verworrenen Geschichten hinter Entdeckungen und Erfindungen. Denn in der Wissenschaft gibt es jede Menge Gossip! Wir erzählen zum Beispiel, wie die Erfinderin des heutigen Schwangerschaftstests mit Hilfe einer Büroklammerbox den Durchbruch schaffte, oder wie eine Hollywood-Schauspielerin den Grundstein für unser heutiges WLAN legte. Immer samstags - am Science-Samstag. Wir, das sind Marie Eickhoff und Luisa Pfeiffenschneider. Wir haben Wissenschaftsjournalismus studiert und die Zeit im Labor schon immer lieber zum Quatschen genutzt. Schreibt uns gerne (podcast@behindscience.de)! Wir lieben Feedback, Themenwünsche und nette Grüße. Bei Instagram (behindscience.podcast) versorgen wir euch zwischen den Folgen mit Wissen. Hinweis: Die Werbung in dieser Folge erfolgt automatisiert. Wir haben keinen Einfluss auf die Auswahl. Vermarktung: Julep Media GmbH | Grafikdesign: Mara Strieder | Sprecherin: Madeleine Sabel | Fotos: Fatima Talalini

Na pílula de hoje conheceremos mais uma pioneira, desta vez, da área da computação. Ada Lovelace é reconhecidamente a primeira pessoa a escrever linhas de código para programar um computador, mesmo que mais de 100 anos antes da construção do primeiro computador eletrônico! Ouça para conhecer sua história! SAIBA MAIS: #166 - Máquinas podem fazer arte? Referências: The Poetical Science of Ada Lovelace Ada Lovelace – Derivando a matemática How Ada Lovelace's notes on the Analytical Engine created the first computer program VISITE NOSSO MUSEU! Praça da Liberdade, 700 Belo Horizonte – MG                                    CEP: 30140-010                                              Telefone (Recepção): (31) 3409-8350 Telefone (Assessoria de Comunicação): (31) 3409-8383 NOSSOS LINKS: ⁠Blog do Espaço⁠ ⁠Calendário Astronômico⁠ ⁠Instagram⁠ ⁠Twitter⁠ ⁠Facebook

Charles Babbage was a 19th century inventor and polymath who is most famous for inventing the programmable digital computer in a purely mechanical as opposed to electrical form.  He was joined by Ada Lovelace, daughter of Lord Byron, who was an early visionary with ideas about the application of computers beyond mere calculation.

In The Analytical Engine, Jeremy Bernstein outlines the project that Lorna described to Herb and Ella: IN 1943, the Moore School and the Aberdeen Proving Ground, in Maryland, were conducting a joint project involving the computation of artillery firing tables for the Army. The Moore School contingent . . . used a Bush analog computer and employed a hundred women to do hand computations as a necessary adjunct to the machine operations . . . . Get full access to The Personal History, Adventures, Experiences & Observations of Peter Leroy at peterleroy.substack.com/subscribe

Computers have obviously transformed our world. You wouldn't be listing to my voice right now if it wasn't for computers.  However, the first computers, a device that could perform arbitrary calculations, actually came well before electronics. It was made of gears, cogs, and levers, and it was able to perform mathematical calculations as well as run simple programs.  Learn more about Charles Babbage and his analytical engine, the world's first mechanical computer, on this episode of Everything Everywhere Daily. Subscribe to the podcast!  https://link.chtbl.com/EverythingEverywhere?sid=ShowNotes -------------------------------- Executive Producer: Darcy Adams Associate Producers: Peter Bennett & Thor Thomsen   Become a supporter on Patreon: https://www.patreon.com/everythingeverywhere Update your podcast app at newpodcastapps.com Discord Server: https://discord.gg/UkRUJFh Instagram: https://www.instagram.com/everythingeverywhere/ Facebook: https://www.facebook.com/EverythingEverywhere Twitter: https://twitter.com/everywheretrip Website: https://everything-everywhere.com/everything-everywhere-daily-podcast/ Everything Everywhere is an Airwave Media podcast." or "Everything Everywhere is part of the Airwave Media podcast network Please contact sales@advertisecast.com to advertise on Everything Everywhere. Learn more about your ad choices. Visit megaphone.fm/adchoices

Join our experts in conversation as they consider the thinking of two great 19th century women writers exploring the boundary between human and machine Using the notebooks of Sir Humphry Davy, an influence on Mary Shelley's Frankenstein, and the surviving manuscripts of the novel itself, Professor Sharon Ruston will consider Shelley's thought-process in writing and how far the Creature might be thought of as crossing a boundary between automaton and man. Professor Ursula Martin will reflect on Ada Lovelace's work exploring algorithms finding patterns in nature and her conjecture on the capabilities ‘beyond number' of Charles Babbage's unbuilt Analytical Engine. She will discuss Lovelace's letter speculating on how a ‘calculus of the nervous system' would aid understanding of the human mind. The event is part of ‘Imagining AI', which celebrates objects in the Bodleian's collections that explore the boundary between human and machine.

Lauren Sato is the CEO of Ada Developers Academy, an organization which prepares women and gender expansive adults for careers in software development in addition to helping place them in internships setting them up for long-term career success. Lauren has deep experience in leadership and leading programs that empower women in sustainable ways. She has a BA in Adolescent and Young Adult Social Studies Education.Episode NotesLauren's passion for the work she does at Ada Developers Academy is so evident in our conversation. Providing sustainable life change for women and gender expansive adults particularly Black, Latine, Indigenous Americans, Native Hawaiian & Pacific Islander, LGBTQIA+, and low-income people is the core of Ada's mission. Lauren is working to accelerate Ada's growth which has been challenging and also unexpectedly strong because of COVID.In addition to sharing information about Ada's program, her own story and journey of coming to Ada, Lauren shares stories of some of the women that have gone through the Ada program and how life changing it has been for them. We have some extensive discussions about diversity, the importance of language, and providing communities that people feel at home in. Music used in the podcast: Higher Up, Silverman Sound StudioAcronyms, Definitions, and Fact CheckAda Developer's Academy - https://adadevelopersacademy.orgAda Lovelace - Augusta Ada King, Countess of Lovelace was an English mathematician and writer, chiefly known for her work on Charles Babbage's proposed mechanical general-purpose computer, the Analytical Engine. (wikipedia)Gender Expansive - People who did not identify with traditional gender roles but are otherwise not confined to one gender narrative or experience. (www.hrc.org)Seventeen percent of LGBTQ people polled lost their jobs because of COVID-19, compared to 13 percent of the general population, a survey found. (nbc news)From February 2020 to January 2022, male workers regained all jobs they had lost due to the public health crisis, according to an analysis by the National Women's Law Center of the latest U.S. Bureau of Labor Statistics report. However, 1.1 million women left the labor force during that span, accounting for 63 percent of all jobs lost. While women gained 188,000 jobs in January 2022, they are still short by more than 1.8 million jobs lost since February 2020. It would take women nearly 10 months of growth at January's level to regain the jobs they lost, the NWLC report indicated. "While men have recouped lost jobs, women are still in a big hole, and that shows how the pandemic impacts genders in different ways," said Emily Martin, vice president for education and workplace justice at NWLC. "Part of the reason for this is because women still hold the lion's share of caregiver responsibilities." (https://www.shrm.org/resourcesandtools/hr-topics/behavioral-competencies/global-and-cultural-effectiveness/pages/over-1-million-fewer-women-in-labor-force.aspx)

When people talk about early computers Babbage's Analytical Engine is bound to come up. Designed back in the 1830's it's definitely older than any other example of the art. But it also has a lot of strikes against it. The machine was purely mechanical. It only really did math. It stored numbers in decimal instead of binary. Worst of all, it only ever existed as designs on paper. So should we call this beast a computer? Or is it something else entirely?   Selected Sources:   https://www.fourmilab.ch/babbage/sketch.html - Sketch of the Analytical Engine, and Lovelace's Notes   https://web.archive.org/web/20210226094829/http://athena.union.edu/~hemmendd/Courses/cs80/an-engine.pdf - Bromleys low level description of the engine   https://sci-hub.se/10.1007/978-3-642-61812-3_2 - On the Mathematical Powers of the Calculating Engine, by Charles Babbage   https://archive.org/details/bub_gb_Oi3IhTZyVCAC/mode/1up - The Ninth Bridgewater Treatise, Babbage

On this week's show we discuss the creation of a new life-form - one being born at this very moment - the seed which, forbidding some extinction level disaster will grow to envelop and surpass all aspects of human life - a truly Artificial Intelligence, or, a computer-based form of life with equal or greater levels of intelligence, awareness and autonomy than the humans who created it; bringing with it the potential to permanently alter the course of human history faster and more dramatically than is even yet imaginable. Will we become cavemen, robot-food, utopian cyborgs or destroy the entire planet before any of these can occur? What happens next is up to you...In this show we discuss:-Artificial Intelligence-Ada Lovelace and the Analytical Engine-The Jacquard Loom-Binary Computing-Algorithms-What is a Turing machine?-The Digital Universe-Defining intelligence-Alpha Go and Google Deepmind-Silicon Based Life-Transhumanism-Android Rights / AI Rights-Uploading Consciousness-The SingularityIn the extended show available at http://www.patreon.com/TheWholeRabbit we also discuss:-Good AI versus Evil AI-Solar Punk Applications-Computers Speaking in Riddles-Roko's Basilisks-Asimov's Three Laws-The Inevitable Future-Sex with Satanic Robots-Death and Love-Star Wars Droids-The Demiurge-Droids RightsSpecial thanks to Mari for writing the technical explanations, and Heka Astra for the etymological sections. Music By:Spirit Travel Plazahttps://open.spotify.com/artist/30dW3WB1sYofnow7y3V0YoWhere to find The Whole Rabbit:YouTube: https://youtu.be/z4DL6BFdzfMMerch: https://shop.spreadshirt.com/thewholerabbit/Spotify: https://open.spotify.com/show/0AnJZhmPzaby04afmEWOAVInstagram: https://www.instagram.com/the_whole_rabbit_/Sources:Ada Lovelace:https://www.newyorker.com/tech/annals-of-technology/ada-lovelace-the-first-tech-visionaryhttps://en.wikipedia.org/wiki/Ada_LovelaceTuring Machine:https://www.youtube.com/watch?v=dNRDvLACg5QModern AI:https://www.youtube.com/watch?v=WXuK6gekU1YJacquard Loom:https://www.scienceandindustrymuseum.org.uk/objects-and-stories/jacquard-loomSupport the show (https://www.patreon.com/thewholerabbit)

Charles Babbage is famous for two things: He invented computers and he never built them. While that sounds like an inventor's version of “I'm invisible, but only if you close your eyes,” it's actually true. After designing the steam-powered calculating machine known as The Difference Engine, Babbage envisioned a machine that would prove to be the unrealized would-be predecessor to the general purpose modern computer: The Analytical Engine. Dr. Doron Swade joins us to take us on a tour of the failure, triumph and speculation that have characterized Babbage's story, including the often misunderstood story of the legendary Ada Lovelace. We then dive into one of the most exciting 100-year leaps being attempted today via the reality-bending world of quantum computing. Scott sits down with multi-award-winning quantum physicist Dr. Shohini Ghose to talk about the principles that make quantum computing possible, its potential to transform the world, and what it will take to bring the computing technology of the future closer to the present day. See omnystudio.com/listener for privacy information.

Subscribe to the podcast!  https://podfollow.com/everythingeverywhere/ Computers have obviously transformed our world. You wouldn't be listing to my voice right now if it wasn't for computers.  However, the first computers, a device that could perform arbitrary calculations, actually came well before electronics. It was made of gears, cogs, and levers, and it was able to perform mathematical calculations as well as run simple program.  Learn more about Charles Babbage and his analytical engine, the world's first mechanical computer, on this episode of Everything Everywhere Daily. -------------------------------- Associate Producers: Peter Bennett & Thor Thomsen   Become a supporter on Patreon: https://www.patreon.com/everythingeverywhere Update your podcast app at newpodcastapps.com Discord Server: https://discord.gg/UkRUJFh Instagram: https://www.instagram.com/everythingeverywhere/ Twitter: https://twitter.com/everywheretrip Website: https://everything-everywhere.com/everything-everywhere-daily-podcast/ Learn more about your ad choices. Visit megaphone.fm/adchoices

After marrying and having three children, Ada dove back into the world of poetical science, continuing her correspondence with Charles Babbage as he tried to garner support for his ambitious, expensive analytical engine. In the second part of this two-part series, the guys explore how Ada's work -- and prescience -- created a profound legacy that remains with us in the modern day. Learn more about your ad-choices at https://www.iheartpodcastnetwork.com

Episode 199 is about a sneaky little PnP game not found on BGG.. not exactly anyway.  This is a legacy version of the game Ada Lovelace: Consulting Mathematician (which is on BGG).  Julius found out about this game and goes through the legacy experience.  Note, there is every the slightest spoiler in this, but this game doesn't have a lot to spoil.  Check it out.. it sounds interesting!   Ada Lovelace: Legacy of the Analytical Engine (Designer's site, payhip, itchio) Ada Lovelace: Consulting Mathematician (BGG)

Things I mentioned on the podcast Tweet where everyone was ignorant: https://twitter.com/StarfuryFlames/status/1364172615590404096?s=20 Lex's podcast: https://youtu.be/ifX_JnBfxTY?t=6973 Lawrence Krauss explains Gauge symmetry to Joe Rogan https://youtu.be/YP-tPE7WO64 Gigi's article: https://dergigi.com/2021/01/14/bitcoin-is-time/ Steampunk computer drawing that we mention at 47:51 https://en.wikipedia.org/wiki/Analytical_Engine#/media/File:Babbage_Analytical_Engine_Plan_1840_CHM.agr.jpg Nick Land piece: https://etscrivner.github.io/cryptocurrent/ Eric's tweets mentioned at the end: https://twitter.com/EricRWeinstein/status/1345808785483255808 ; https://twitter.com/raw_avocado/status/1366863731683172352 ; https://twitter.com/aeonBTC/status/1366975677287727106 Where to find us The show: https://twitter.com/BTCReservations Alex: https://twitter.com/raw_avocado æon: https://twitter.com/aeonBTC Video version https://youtu.be/VTJK6cFbP4I Disclaimer This is NOT financial advice.

Stefania tells the story of ADA LOVELACE, a mathematician and writer, whose passion for mathematics led to a prophetic interpretation of The Analytical Engine that provided the framework from which she would be viewed as one of the first computer programmers in history. Born: Dec. 10, 1815, London, UK; Died: Nov. 27, 1852, London, UK. Episode Sources: en.wikipedia.org/wiki/Ada_Lovelace Isaacson, Walter. The Innovators: How a Group of Hackers, Geniuses, and Geeks Created the Digital Revolution. New York, NY, Simon & Schuster, 2014.  CHM Live. Ada Lovelace: The Making of a Computer Scientist. www.youtube.com/watch?v=2UxjkGePZ48 Ada Lovelace: Great Minds. SciShow. www.youtube.com/watch?v=uBbVbqRvqTM Ada Lovelace: The Original Woman in Tech. Zoe Philpott. TedxBucharest. TEDx Talks. www.youtube.com/watch?v=1QQ3gWmd20s BBC DOCUMENTARY : Calculating Ada - The Countess of Computing 2015. Forgotten Diaries. www.youtube.com/watch?v=QgUVrzkQgds - Host Dr. Hannah Fry Morais, Betsy, “The First Tech Visionary,” The New Yorker, October 15, 2013. https://www.newyorker.com/tech/annals-of-technology/ada-lovelace-the-first-tech-visionary

We mentioned John Locke in the episode on the Scientific Revolution. And Leibniz. They not only worked in the new branches of science, math, and philosophy, but they put many of their theories to use and were engineers.  Computing at the time was mechanical, what we might now think of as clockwork. And clockwork was starting to get some innovative new thinking. As we've covered, clockworks go back thousands of years. But with a jump in more and more accurate machining and more science, advances in timekeeping were coming. Locke and Huygens worked on pendulum clocks and then moved to spring driven clocks. Both taught English patents and because they didn't work that well, neither were granted. But more somethings needed to happen to improve the accuracy of time.  Time was becoming increasingly important. Not only to show up to appointments and computing ever increasing math problems but also for navigation. Going back to the Greeks, we'd been estimating our position on the Earth relative to seconds and degrees. And a rapidly growing maritime power like England at the time needed to use clocks to guide ships. Why? The world is a sphere. A sphere has 360 degrees which multiplied by 60 minutes is 21,600. The North South circumference is 21603 nautical miles. Actually the world isn't a perfect sphere so the circumference around the equator is 21,639 nautical miles. Each nautical mile is 6,076 feet. When traveling by sea, trying to do all that math in feet and inches is terribly difficult and so we came up with 180 lines each of latitude, running east-west and longitude running north-south. That's 60 nautical miles in each line, or 60 minutes. The distance between each naturally goes down as one gets closer to the poles - and goes down a a percentage relative to the distance to those poles. Problem was that the most accurate time to check your position relative to the sun was at noon or to use the Polaris North Star at night. Much of this went back to the Greeks and further. The Sumerians developed the sexagesimal system, or base 60 and passed it down to the Babylonians in the 3rd millennium BCE and by 2000 BCE gave us the solar year and the sundial. As their empire grew rich with trade and growing cities by 1500 BCE the Egyptians had developed the first water clocks timers, proved by the Karnak water clock, beginning as a controlled amount of water filling up a vessel until it reached marks. Water could be moved - horizontal water wheels were developed as far back as the 4th millennium BCE.  Both the sundial and the water clock became more precise in the ensuing centuries, taking location and the time of the year into account. Due to water reacting differently in various climates we also got the sandglass, now referred to as the hourglass.  The sundial became common in Greece by the sixth century BCE, as did the water clock, which they called the clepsydra. By then it had a float that would tell the time. Plato even supposedly added a bowl full of balls to his inflow water clock that would dump them on a copper plate as an alarm during the day for his academy.  We still use the base 60 scale and the rough solar years from even more ancient times. But every time sixty seconds ticks by something needs to happen to increment a minute and every 60 minutes needs to increment an hour. From the days of Thales in the 600s BCE and earlier, the Greeks had been documenting and studying math and engineering. And inventing. All that gathered knowledge was starting to come together. Ctesibius was potentially the first to head the Library of Alexandria and while there, developed the siphon, force pumps, compressed air, and so the earliest uses of pneumatics. He is accredited for adding a scale and float thus mechanics. And expanding the use to include water powered gearing that produced sound and moved dials with wheels. The Greek engineer Philo of Byzantium in the 240s BCE, if not further back, added an escapement to the water clock. He started by simply applying a counterweight to the end of a spoon and as the spoon filled, a ball was released. He also described a robotic maid who, when Greeks put a cup in her hand, poured wine.  Archimedes added the idea that objects displaced water based on their volume but also mathematical understanding of the six simple machines. He then gets credited for being the first to add a gear to a water clock. We now have gears and escapements. Here's a thought, given their lifetimes overlapping, Philo, Archimedes, and Ctesibius could have all been studying together at the library. Archimedes certainly continued on with earlier designs, adding a chime to the early water clocks. And Archimedes is often credited for providing us with the first transmission gears. The Antikythera device proves the greeks also made use of complex gearing. Transferring energy in more complex gearing patterns. It is hand cranked but shows mathematical and gearing mastery by choosing a day and year and seeing when the next eclipse and olympiad would be. And the Greeks were all to happy to use gearing for other devices, such as an odometer in the first century BCE and to build the Tower of the Winds, an entire building that acted as a detailed and geared water clock as well as perhaps a model of the universe.  And we got the astrolabe at the same time, from Apollonius or Hipparchus. But a new empire had risen. The astrolabe was a circle of metal with an arm called an alidade that users sighted to the altitude of a star and based on that, you could get your location. The gearing was simple but the math required to get accurate readings was not. These were analog computers of a sort - you gave them an input and they produced an output. At this point they were mostly used by astronomers and continued to be used by Western philosophers at least until the Byzantines. The sundial, water clocks, and many of these engineering concepts were brought to Rome as the empire expanded, many from Greece. The Roman Vitruvius is credited with taking that horizontal water wheel and flipping it vertical in 14 CE. Around the same time, Augustus Caesar built a large sundial in Campus Martius. The Romans also added a rod to cranks giving us sawmills in the third century. The larger the empire the more time people spent in appointments and the more important time became - but also the more people could notice the impact that automata had. Granted much of it was large, like a windmill at the time, but most technology starts huge and miniaturizes as more precision tooling becomes available to increasingly talented craftspeople and engineers.  Marcus Vitruvius Pollio was an architect who wrote 10 books in the 20s BCE about technology. His works link aqueducts to water-driven machinations that could raise water from mines, driven by a man walking on a wheel above ground like a hamster does today but with more meaning. They took works from the Hellenistic era and put them in use on an industrial scale. This allowed them to terraform lands and spring new cities into existence. Sawing timber with mills using water to move saws allowed them to build faster. And grinding flour with mills allowed them to feed more people. Heron of Alexandria would study and invent at the Library of Alexandria, amongst scrolls piled to the ceilings in halls with philosophers and mechanics. The inheritor of so much learning, he developed vending machines, statues that moved, and even a steam engine. If the Greeks and early Roman conquered of Alexandria could figure out how a thing work, they could automate it.  Many automations were to prove the divine. Such as water powered counterweights to open doors when priests summoned a god, and blew compressed air through trumpets. He also used a wind mill to power an organ and a programmable cart using a weight to turn a drive axle. He also developed an omen machine, with ropes and pulleys on a gear that caused a bird to sing, the song driven by a simple whistle being lowered into water. His inventions likely funding more and more research.  But automations in Greek times were powered by natural forces, be it hand cranked, fire, or powered by water. Heron also created a chain driven automatic crossbow, showing the use of a chain-driven machine and he used gravity to power machines, automating devices as sand escaped from those sand glasses. He added pegs to pulleys so the distance travelled could be programmed. Simple and elegant machines. And his automata extended into the theater. He kept combining simple machines and ropes and gravity into more and more complex combinations, getting to the point that he could run an automated twenty minute play. Most of the math and mechanics had been discovered and documented in the countless scrolls in the Library of Alexandria.  And so we get the term automated from the Greek word for acting of oneself. But automations weren't exclusive to the Greeks. By the time Caligula was emperor of the Roman Empire, bronze valves could be used to feed iron pipes in his floating ships that came complete with heated floors. People were becoming more and more precise in engineering and many a device was for telling time. The word clock comes from Latin for bell or clogga. I guess bells should automatically ring at certain times. Getting there... Technology spreads or is rediscovered. By Heron the Greeks and Romans understood steam, pistons, gears, pulleys, programmable automations, and much of what would have been necessary for an industrial or steampunk revolution. But slaves were cheap and plentiful in the empire. The technology was used in areas where they weren't. Such as at Barbegal to feed Arles in modern France, the Romans had a single hillside flour grinding complex with automated hoppers, capable of supplying flour to thousands of Romans. Constantine, the first Christian Roman emperor, was based there before founding Constantinople. And as Christianity spread, the gimmicks that enthralled the people as magic were no longer necessary. The Greeks were pagans and so many of their works would be cleansed or have Christian writings copied over them. Humanity wasn't yet ready. Or so we've been led to believe.  The inheritors of the Roman Empire were the Byzantines, based where Europe meets what we now think of as the Middle East. We have proof of geared portable sundials there, fewer gears but showing evidence of the continuation of automata and the math used to drive it persisting in the empire through to the 400s. And maybe confirming written accounts that there were automated lions and thrones in the empire of Constantinople. And one way geared know-how continued and spread was along trade routes which carried knowledge in the form of books and tradespeople and artifacts, sometimes looted from temples. One such trade route was the ancient Silk Road (or roads). Water clocks were being used in Egypt, Babylon, India, Persia, Greece, Rome, and China. The Tang Dynasty in China took or rediscovered the escapement to develop a water powered clockwork escapement in the 700s and then in the Song Dynasty developed astronomical clock towers in the 900s. By now the escapements Su Sung is often credited for the first mechanical water clock in 1092. And his Cosmic Engine would mark the transition from water clocks to fully mechanical clocks, although still hydromechanical. The 1100s saw Bhoja in the Paramara dynasty of India emerge as a patron of the arts and sciences and write a chapter on mechanical bees and birds. These innovations could have been happening in a vacuum in each - or word and works could have spread through trade.  That technology disappeared in Europe, such as plumbing in towns that could bring tap water to homes or clockworks, as the Roman Empire retreated. The specialists and engineers lacked the training to build new works or even maintain many that existed in modern England, France, and Germany. But the heads of rising eastern empires were happy to fund such efforts in a sprint to become the next Alexander. And so knowledge spread west from Asia and was infused with Greek and Roman knowhow in the Middle East during the Islamic conquests. The new rulers expanded quickly, effectively taking possession of Egypt, Mesopotamia, parts of Asia, the Turkish peninsula, Greece, parts of Southern Italy, out towards India, and even Spain. In other words, all of the previous centers of science. And they were tolerant, not looking to convert conquered lands to Islam. This allowed them to learn from their subjects in what we now think of as the Arabic translation movement in the 7th century when Arabic philosophers translated but also critiqued and refined works from the lands they ruled. This sparked the Muslim golden age, which became the new nexus of science at the time. Over time we saw the Seljuks, ruling out of Baghdad, and Abbasids as Islamic empires who funded science and philosophy. They brought caravans of knowledge into their capitals. The Abbasids even insisted on a specific text from Ptolemy (the Almagest) when doing a treaty so they could bring it home for study. They founding of schools of learning known as Madrasas in every town. This would be similar to a university system today. Over the centuries following, they produced philosophers like Muhammad Ibn Musa Al-Khwarizmi, who solved quadratic equations, giving us algebra. This would become important to make clockwork devices became more programmable (and for everything else algebra is great at helping with). They sent clockworks as gifts, such as a brass automatic water clock sent to Charlemagne between 802 and 807, complete with chimes. Yup, the clogga rang the bell. They went far past where Heron left off though. There was Ibn-Sina, Al-Razi, Al-Jazari, Al Kindi, Thābit ibn Qurra, Ridwan, and countless other philosophers carrying on the tradition. The philosophers took the works of the Greeks, copied, and studied them. They evolved the technology to increasing levels of sophistication. And many of the philosophers completed their works at what might be considered the Islamic version of the Library of Alexandria, The House of Wisdom in Baghdad. In fact, when Baghdad was founded about 50 miles north of ancient Babylon, the Al-Mansur Palace Library was part of the plan  and over subsequent Caliphs was expanded adding an observatory that would then be called the House of Wisdom. The Banu Musa brothers worked out of there and wrote twenty books including the first Book of Ingenious Devices. Here, they took the principles the Greeks and others had focused on and got more into the applications of those principles. On the way to their compilation of devices, they translated books from other authors, including A Book on Degrees on the Nature of Zodiacal Signs from China and Greek works.The three brothers combined pneumatics and aerostatics. They added plug valves, taps, float valves, and conical valves. They documented the siphon and funnel for pouring liquids into the machinery and thought to put a float in a chamber to turn what we now think of as the first documented crank shaft. We had been turning circular motion into linear motion with wheels, but we were now able to turn linear motion into circular motion as well. They used all of this to describe in engineering detail, if not build and invent, marvelous fountains. Some with multiple jets alternating. Some were wind powered and showed worm-and-pinion gearing.   Al-Biruni, around the turn of the first millennia, came out of modern Uzbekistan and learned the ancient Indian Sanskrit, Persian, Hebrew, and Greek. He wrote 95 books on astronomy and math. He studied the speed of light vs speed of sound, the axis of the earth and applied the scientific method to statics and mechanics. This moved theories on balances and weights forward. He produced geared mechanisms that are the ancestor of modern astrolabes.  The Astrolabe was also brought to the Islamic world. Muslim astronomers added newer scales and circles. As with in antiquity, they used it in navigation but they had another use, to aid in prayer by showing the way to Mecca.  Al-Jazari developed a number of water clocks and is credited with others like developed by others due to penning another Book of Knowledge of Ingenious Mechanical Devices. Here, he describes a camshaft, crank dive and reciprocating pumps, two way valves, and expanding on the uses of pneumatic devices. He developed programmable humanoid robots in the form of automatic musicians on a boat. These complex automata included cams and pegs, similar to those developed by Heron of Alexandria, but with increasing levels of sophistication, showing we were understanding the math behind the engineering and it wasn't just trial and error. All golden ages must end. Or maybe just evolve and migrate. Fibonacci and Bacon quoted then, showing yet another direct influence from multiple sources around the world flowing into Europe following the Holy Wars.  Pope Urban II began inspiring European Christian leaders to wage war against the Muslims in 1095. And so the Holy Wars, or Crusades would begin and rage until 1271. Here, we saw manuscripts copied and philosophy flow back into Europe. Equally as important, Muslim Caliphates in Spain and Sicily and trade routes. And another pair of threats were on the rise. The plague and the Mongols.  The Mongol invasions began in the 1200s and changed the political makeup of the known powers of the day. The Mongols sacked Baghdad and burned the House of Wisdom. After the mongols and Mughals, the Islamic Caliphates had warring factions internally, the empires fractured, and they turned towards more dogmatic approaches. The Ottomon empire rose and would last until World War I, and while they continued to sponsor scientists and great learners, the nexus of scientific inquiry and the engineering that inspired shifted again and the great works were translated with that shift, including into Latin - the language of learning in Europe. By 1492 the Moors would be kicked out of Spain. That link from Europe to the Islamic golden age is a critical aspect of the transfer of knowledge. The astrolabe was one such transfer. As early as the 11th century, metal astrolabes arrive in France over the Pyrenees to the north and to the west to Portugal . By the 1300s it had been written about by Chaucer and spread throughout Europe. Something else happened in the Iberian peninsula in 1492. Columbus sailed off to discover the New World. He also used a quadrant, or a quarter of an astrolabe. Which was first written about in Ptolemy's Almagest but later further developed at the House of Wisdom as the sine quadrant.  The Ottoman Empire had focused on trade routes and trade. But while they could have colonized the New World during the Age of Discovery, they didn't. The influx of wealth coming from the Americas caused inflation to spiral and the empire went into a slow decline over the ensuing centuries until the Turkish War of Independence, which began in 1919.  In the meantime, the influx of money and resources and knowledge from the growing European empires saw clockworks and gearing arriving back in Europe in full force in the 14th century.  In 1368 the first mechanical clock makers got to work in England. Innovation was slowed due to the Plague, which destroyed lives and property values, but clockwork had spread throughout Europe. The Fall of Constantinople to the Ottomons in 1453 sends a wave of Greek Scholars away from the Ottoman Empire and throughout Europe. Ancient knowledge, enriched with a thousand years of Islamic insight was about to meet a new level of precision metalwork that had been growing in Europe. By 1495, Leonardo da Vinci showed off one of the first robots in the world -  a knight that could sit, stand, open its visor independently. He also made a robotic lion and repeated experiments from antiquity on self driving carts. And we see a lot of toys following the mechanical innovations throughout the world. Because parents.  We think of the Renaissance as coming out of Italy but scholars had been back at it throughout Europe since the High Middle Ages. By 1490, a locksmith named Peter Hele is credited for developing the first mainspring in Nurnburg. This is pretty important for watches. You see, up to this point nearly every clockwork we've discussed was powered by water or humans setting a dial or fire or some other force. The mainspring stores energy as a small piece of metal ribbon is twisted around an axle, called an abror, into a spiral and then wound tighter and tighter, thus winding a watch.  The mainspring drove a gear train of increasingly smaller gears which then sent energy into the escapement but without a balance wheel those would not be terribly accurate just yet. But we weren't powering clocks with water. At this point, clocks started to spread as expensive decorations, appearing on fireplace mantles and on tables of the wealthy. These were not small by any means. But Peter Henlein would get the credit in 1510 for the first real watch, small enough to be worn as a necklace. By 1540, screws were small enough to be used in clocks allowing them to get even smaller. The metals for gears were cut thinner, clock makers and toy makers were springing up all over the world. And money coming from speculative investments in the New World was starting to flow, giving way to fuel even more investment into technology. Jost Burgi invented the minute hand in 1577. But as we see with a few disciplines he decided to jump into, Galileo Galilei has a profound impact on clocks. Galileo documents the physics of the pendulum in 1581 and the center of watchmaking would move to Geneva later in that decade. Smaller clockworks spread with wheels and springs but the 1600s would see an explosion in hundreds of different types of escapements and types of gearing.  He designed an escapement for a pendulum clock but died before building it.  1610 watches got glass to protect the dials and 1635 French inventor Paul Viet Blois added enamel to the dials. Meanwhile, Blaise Pascal developed the Pascaline in 1642, giving the world the adding machine. But it took another real scientist to pick up Galileo's work and put it into action to propel clocks forward. To get back to where we started, a golden age of clockwork was just getting underway. In 1657 Huygens created a clock driven by the pendulum, which by 1671 would see William Clement add the suspension spring and by 1675 Huygens would give us the balance wheel, mimicking the back and forth motion of Galileo's pendulum. The hairspring, or balance spring, then controlled the speed making it smooth and more accurate. And the next year, we got the concentric minute hand. I guess Robert Hooke gets credit for the anchor escapement, but the verge escapement had been in use for awhile by then. So who gets to claim inventing some of these devices is debatable. Leibniz then added a stepped reckoner to the mechanical calculator in 1672 going from adding and subtracting to multiplication and division. Still calculating and not really computing as we'd think of it today. At this point we see a flurry of activity in a proton-industrial revolution. Descartes puts forth that bodies are similar to complex machines and that various organs, muscles, and bones could be replaced with gearing similar to how we can have a hip or heart replaced today. Consider this a precursor to cybernetics. We see even more mechanical toys for the rich - but labor was still cheap enough that automation wasn't spreading faster.  And so we come back to the growing British empire. They had colonized North America and the empire had grown wealthy. They controlled India, Egypt, Ireland, the Sudan, Nigeria, Sierra Leone, Kenya, Cyprus, Hong Kong, Burma, Australia, Canada, and so much more. And knowing the exact time was critical for a maritime empire because we wouldn't get radar until World War II.  There were clocks but still, the clocks built had to be corrected at various times, based on a sundial. This is because we hadn't yet gotten to the levels of constant power and precise gearing and the ocean tended to mess with devices. The growing British Empire needed more reliable ways than those Ptolemy used to tell time. And so England would offer prizes ranging from 10,000 to 20,000 pounds for more accurate ways to keep time in the Maritime Act in 1714. Crowdsourcing. It took until the 1720s. George Graham, yet another member of the Royal Society, picked up where Thomas Tompion left off and added a cylinder escapement to watches and then the deadbeat escapement. He chose not to file patents for these so all watch makers could use them. He also added mercurial compensation to pendulum clocks. And John Harrison added the grid-iron compensation pendulum for his H1 marine chronometer. And George Graham added the cylinder escapement.  1737 or 1738 sees another mechanical robot, but this time Jacques de Vaucanson brings us a duck that can eat, drink, and poop. But that type of toy was a one-off. Swiss Jaquet-Droz built automated dolls that were meant to help sell more watches, but here we see complex toys that make music (without a water whistle) and can even write using programmable text. The toys still work today and I feel lucky to have gotten to see them at the Museum of Art History in Switzerland. Frederick the Great became entranced by clockwork automations. Magicians started to embrace automations for more fantastical sets.  At this point, our brave steampunks made other automations and their automata got cheaper as the supply increased. By the 1760s Pierre Le Roy and Thomas Earnshaw invented the temperature compensated balance wheel. Around this time, the mainspring was moved into a going barrel so watches could continue to run while the mainspring was being wound. Many of these increasingly complicated components required a deep understanding of the math about the simple machine going back to Archimedes but with all of the discoveries made in the 2,000 years since.  And so in 1785 Josiah Emery made the lever escapement standard. The mechanical watch fundamentals haven't changed a ton in the past couple hundred years (we'll not worry about quartz watches here). But the 1800s saw an explosion in new mechanical toys using some of the technology invented for clocks. Time brings the cost of technology down so we can mass produce trinkets to keep the kiddos busy.  This is really a golden age of dancing toys, trains, mechanical banks, and eventually bringing in spring-driven wind-up toys.  Another thing happened in the 1800s. With all of this knowhow on building automations, and all of this scientific inquiry requiring increasingly complicated mathematics, Charles Babbage started working on the Difference Engine in 1822 and then the Analytical Engine in 1837, bringing in the idea of a Jacquard loom punched card. The Babbage machines would become the precursor of modern computers, and while they would have worked if built to spec, were not able to be run in his lifetime.  Over the next few generations, we would see his dream turn into reality and the electronic clock from Frank Hope-Jones in 1895. There would be other innovations such as in 1945 when the National Institute of Standards and technology created the first atomic clock. But in general parts got smaller, gearing more precise, and devices more functional. We'd see fits and starts for mechanical computers, with Percy Ludgate's Analytical Machine in 1909, the Marchant Calculator in 1918, the electromechanical Enigma in the 1920s, the Polish Enigma double in 1932, the Z1 from Konrad Zuse in 1938, and the Mark 1 Fire Control Computer for the US Navy in the World War II era, when computers went electro-mechanical and electric, effectively ending the era of clockwork-driven machinations out of necessity, instead putting that into what I consider fun tinkerations. Aristotle dreamed of automatic looms freeing humans from the trappings of repetitive manual labors so we could think. A Frenchman built them. Long before Aristotle, Pre-Socratic Greek legends told of statues coming to life, fire breathing statues, and tables moving themselves. Egyptian statues were also known to have come to life to awe and inspire the people. The philosophers of the Thales era sent Pythagoras and others to Egypt where he studied with Egyptian priests. Why priests? They led ascetic lives, often dedicated to a branch of math or science. And that's in the 6th century BCE. The Odyssey was written about events from the 8th century BCE.  We've seen time and time again in the evolutions of science that we often understood how to do something before we understood why. The legendary King Solomon and King Mu of the Zhao dynasty are said to have automata, or clockwork, or moving statues, or to have been presented with these kinds of gifts, going back thousands of years. And there is the chance that they were. Since then, we've seen a steady advent of this back and forth between engineering and science.  Sometimes, we understand how to do something through trial and error or random discovery. And then we add the math and science to catch up to it. Once we do understand the science behind a discovery we uncover better ways and that opens up more discoveries. Aristotle's dream was realized and extended to the point we can now close the blinds, lock the doors, control the lights, build cars, and even now print cars. We mastered time in multiple dimensions, including Newton's relative time. We mastered mechanics and then the electron and managed to merge the two. We learned to master space, mapping them to celestial bodies. We mastered mechanics and the math behind it. Which brings us to today. What do you have to do manually? What industries are still run by manual labor? How can we apply complex machines or enrich what those can do with electronics in order to free our fellow humans to think more? How can we make Aristotle proud? One way is to challenge and prove or disprove any of his doctrines in new and exciting ways. Like Newton and then Einstein did. We each have so much to give. I look forward to seeing or hearing about your contributions when its time to write their histories!

Augusta Ada Byron, Countess of Lovelace, Ada Lovelace (10 December 1815 – 27 November 1852) was an English mathematician and writer, chiefly known for her work on Charles Babbage's proposed mechanical general-purpose computer, the Analytical Engine. She is believed by some to be the first to recognize that the machine had applications beyond pure calculation, and to have published the first algorithm intended to be carried out by such a machine. As a result, she is often regarded as the first to recognize the full potential of computers and as one of the first computer programmers. In this episode KiranPrabha narrates the life sketch of Ada Lovelace

Ada Lovelace Day will be observed on October 13th this year. While a lot of us probably know the name Ada Lovelace, we're devoting this episode to taking an in-depth look at her life and contributions. Difference Engine photos Analytical Engine photos Faster than Thought by B.V. Bowden Lovelace's diagram which includes the first computer algorithm Shelley Benhoff's Pluralsight author page

Die Mathematikerin Ada Lovelace gilt erste Person, die als Programmierer bezeichnet werden kann. Die Tochter von Lord Byron ist eine schillernde historische Person, die euch Jan heute näher bringt. Welche Auswirkungen hat ihre Arbeit auf unser aller Leben? Wie konnte sie das Programmieren erfinden bevor es programmierbare Maschinen gab? Gute Reise!

Augusta Ada King, Countess of Lovelace, was more than just a mathematician. She was a "steampunk math goddess" of her day in early 19th century. My guest, and computer programmer, Becky and I talk about how not only her contributions to Babbage and his Analytical Engine. While the daughter of the famous poet Lord Byron, she made history in her own right; developing and able to explain the first ever programming code. Her notes upon notes upon notes for the Analytical Engine laid the foundation for many great mathematicians in the future, including Alan Turing, and earns her a spot in the accolades of history, and being a bad ass woman. 

Wes, Craig & Joe get mathematical & examine the life of Ada Lovelace -- a brilliant and brazen woman whose affection for arithmetic made her a programmer a full century before Charles Babbage’s Analytical Engine would come to form the foundations of modern computing. Also Joe has 3 beers & starts doing dumb voices. This will happen again, we guarantee it. Sources: Wikipedia biography.com Ada Lovelace:The First Tech Visionary(The New Yorker) Please Subscribe as well as follow us on Twitter and Instagram. You can also email us at secondbananaspod@gmail.com with suggestions for future episodes, want to correct or critique something, or if you just have something interesting to say! SECOND BANANAS is part of the Cave Goblin Network. Subscribe to the CGN Patreon to support us as well as get access to FRESH BONUS CONTENT every week! This podcast is powered by Pinecast. Try Pinecast for free, forever, no credit card required. If you decide to upgrade, use coupon code cavegoblins for 40% off for 4 months, and support Second Bananas.

Mentor Bob Cousins on Augusta Ada King, Countess of Lovelace was an English mathematician and writer, chiefly known for her work on Charles Babbage's proposed mechanical general-purpose computer, the Analytical Engine.

Augusta Ada Lovelace born in 1815, is a gravely underestimated woman in history. A mathematician and artist, born after Newton and before Einstein, she posed the notion of material and mind are more intimately related that was thought at her time. Known as the first computer programmer, and, only since 2009, she has been recognized annually on October 15th to highlight the often overlooked contributions of women to math and science. Lovelace died of cancer at 36, and it took nearly a century after her death for people to appreciate her notes on Babbage’s Analytical Engine, which became recognized as the first description for computer and software, ever. This tech visionary had already foreseen the power of computing. "A new, a vast, and a powerful language is developed for the future use of analysis, in which to wield its truths so that these may become of more speedy and accurate practical application for the purposes of mankind than the means hitherto in our possession have rendered possible. Thus not only the mental and the material, but the theoretical and the practical in the mathematical world, are brought into more intimate and effective connection with each other," she said.

This is a discussion about why deep neural nets are unreasonably effective. Gianluca and Jared examine the relationships between neural architectures and the laws of physics that govern our Universe—exploring brains, human language, and linear functions. Nothing could have prepared them for the territories this episode expanded to, so strap yourself in! ---------- Shownotes: AlphaGo beating Lee Sedol at Go: https://en.wikipedia.org/wiki/AlphaGo_versus_Lee_Sedol OpenAI Five: https://openai.com/blog/openai-five/ Taylor series/expansions video from 3Blue1Brown: https://www.youtube.com/watch?v=3d6DsjIBzJ4 Physicist Max Tegmark: https://en.wikipedia.org/wiki/Max_Tegmark Tegmark's great talk on connections between physics and deep learning (which formed much of the inspiration for this conversation): https://www.youtube.com/watch?v=5MdSE-N0bxs Universal Approximation Theorem: https://en.wikipedia.org/wiki/Universal_approximation_theorem A refresher on “Map vs. Territory”: https://fs.blog/2015/11/map-and-territory/ Ada Lovelace (who worked on Babbage's Analytical Engine): https://en.wikipedia.org/wiki/Ada_Lovelace Manifolds and their topology: http://colah.github.io/posts/2014-03-NN-Manifolds-Topology/ Binary trees: https://en.wikipedia.org/wiki/Binary_tree Markov process: http://mathworld.wolfram.com/MarkovProcess.html OpenAIs GPT-2: https://openai.com/blog/better-language-models/ Play with GPT-2 in your browser here: https://talktotransformer.com/ Lex Fridman's MIT Artificial Intelligence podcast: https://lexfridman.com/ai/ The Scientific Odyssey podcast: https://thescientificodyssey.libsyn.com/

Die erste Person, die als Programmierer bezeichnet werden kann Mathe - das ist doch nichts für Frauen, oder? Augusta Ada Byron King, Countess of Lovelace, allgemein als Ada Lovelace bekannt, war eine britische Mathematikerin des 19. Jahrhunderts. Sie arbeitete mit Charles Babbage an der von ihm entwickelten Analytical Engine und veröffentlichte 1843 umfangreiche Notizen zur möglichen Programmierung der von Babbage entwickelten Maschine. Deshalb wird sie als „die erste Person, die als Programmierer bezeichnet werden kann“ angesehen. Mehr dazu aus der Sicht von Cathrin und Kim in dieser Podcastfolge. See acast.com/privacy for privacy and opt-out information.

Welcome to the History of Computing Podcast, where we explore the history of information technology. Because by understanding the past, we're able to be prepared for the innovations of the future! Today's episode is on one of the finest minds in the history of computing: Grace Brewster Murray Hopper. Rear Admiral Hopper was born on December 9th, 1906 in New York City.   She would go on to graduate from Vassar College in 1928, earn a master's degree at Yale in 1930, and then a PhD from Yale in 1933, teaching at Vassar from 1931 until 1941. And her story might have ended there. But then World War Two happened. Her great-grandfather was an admiral in the US Navy during the Civil War, and so Grace Hopper would try to enlist. But she was too old and a little too skinny. And she was, well, a she. So instead she went on to join the women's branch of the United States Naval Reserve called WAVES, or Women Accepted for Volunteer Emergency Service, at the time. She graduated first in her class and was assigned to the Bureau of Ships project at Harvard as a Lieutenant where she was one of the original programmers of the IBM Automatic Sequence Controlled Calculator, better known as the Mark I.  The Mark I did what the analytical engine tried to do but using electromechanical components. Approved by the original IBM CEO Thomas Watson Sr, the project had begun in 1937 and was shipped to Harvard in 1944. If you can imagine, Hopper and the other programmers did conditional branching manually. Computers played a key role in the war effort and Hopper played a key role in the development of those computers. She co-authored three papers on the Mark I during those early days. She also found a moth in the Mark II in 1947, creating a term everyone in software uses today: debugging.  When peace came, she was offered a professorship at Vassar. But she had a much bigger destiny to fulfill. Hopper stayed on at Harvard working on Navy contracts because the Navy didn't want her yet. Yet. She would leave Harvard to go into the private sector for a bit. At this point she could have ended up with Remington Rand designing electric razors (yes, that Remington), or working on the battery division, which would be sold to Rayovac decades later. But she ended up there as a package deal with the UNIVAC. And her destiny began to unfold.  You see, writing machine code sucks. She wanted to write software, not machine language. She wanted to write code in English that would then run as machine code. This was highly controversial at the time because programmers didn't see the value in allow what was mainly mathematical notation for data processing to be available in a higher level language, which she proposed would be English statements. She published her first paper on what she called compilers in 1952.  There's a lot to unpack about what compilers brought to computing. For starters, they opened up programming to people that would otherwise have seen a bunch of mathematical notations and run away. In her words:  “I could say "Subtract income tax from pay" instead of trying to write that in octal code or using all kinds of symbols.” This opened the field up to the next generation of programmers. It also had a second consequence: the computer was no longer just there to do math. Because the Mark I had been based on the Analytical Engine, it was considered a huge and amazing calculator.  But putting actual English words out there and then compiling (you can't really call it converting because that's an oversimplification) those into machine code meant the blinders started to come off and that next generation of programmers started to think of computers as… more.  The detractors had a couple of valid points. This was the early days of processing. The compiler created code that wasn't as efficient as machine code developed by hand. Especially as there were more and more instructions you could compile. There's really no way around that. But the detractors might not have realized how much faster processors would get. After all they were computing with gears just a few decades earlier. The compiler also opened up the industry to non-mathematicians. I'm pretty sure an objection was that some day someone would write a fart app. And they did. But Grace Hopper was right, the compiler transformed computing into the industry it is today. We still compile code and without the compiler we wouldn't be close to having the industry we have today. In 1954 she basically became the first director of software development when she was promoted to the Director of Automatic Programming. Feeling like an underachiever yet? She was still in the Navy Reserve and in 1957 was promoted to Commander. But she was hard at work at her day job as she and her team at Remington Rand developed a language called FLOW-MATIC the first natural language programming language. In 1959, a bunch of computer nerds were assembled in a conference called CODASYL, or Conference on Data Systems Languages for short. Here, they extended FLOW-MATIC into COBOL making Hopper the mother of compilers and thus the grandmother of COBOL. Picking up a bunch of extra names to add to the end of your title doesn't necessarily mean a dragon flies away with you though. She retired from the Navy in 1966.  But again, her story doesn't end there. Hopper went back to the Navy in 1967 after a very successful career with Remington Rand, overseeing the Navy Programming Languages Group. After all, putting language into programming was something she, um, pioneered. She was promoted to a Captain in the Navy in 1973. Here, she directed and developed validation software for COBOL and its compiler through much of the 70s. Armed with those standards, she was then able to go to the Defense Department and push for more computers that were smaller. The rest of the world had no idea the mini-computer (or PC revolution) was coming but she did. Her standards would evolve into the standards managed by the National Institute of Standards and Technology, or NIST, today. You know those NIST configuration guides for configuring a Mac or Windows computer? They do that. The Navy promoted her to a commodore in 1983, a rank renamed to rear admiral just before her retirement in 1986. She earned her Defense Distinguished Service Medal after coming home to the Navy time and time again during her 42 year career there. I guess the meaning of her life was computers and the US Navy.  After her retirement, she wasn't ready to slow down. She went to work for Digital Equipment Corporation (DEC) speaking at conferences and industry forums and traveling to the DEC offices. At the time, DEC was the number two computer company in the world. She stayed there until she passed away in 1992. Since her death, she has had a college at Yale renamed in her honor, had a destroyer named after her, and was awarded the Presidential Medal of Honor by then US president Barack Obama. If you don't yet have a spirit animal, you could do worse than to pick her. 

“The Analytical Engine does not occupy common ground with mere ‘calculating machines.’ It holds a position wholly its own, and the considerations it suggests are more interesting in their nature” – Ada Lovelace. Ada Lovelace Biography Augusta Ada King, Countess of Lovelace was born in London, England on 10 December 1815. She was the daughter … The post Ada Lovelace appeared first on 5 Minute Biographies.

In this episode, we continue our investigation into the Analytical Engine with a brief exploration of “the first computer programmer,” Ada Lovelace.

In this episode, we begin an exploration of the work of Charles Babbage and his designs for the Difference Engine and Analytical Engine, and computer science visionary Ada Lovelace. Also discussed are the Jacquard Loom, the interesting intersection of 19th century poetry and literature and earliest years of computer science.

Smoke and Mirrors, or the real thing?  Maria Rose narrates.

Smoke and Mirrors, or the real thing?  Maria Rose narrates.

In this final episode of a four-part series, Stephen Wolfram revisits an essay in his book Idea Makers and blog post titled "Untangling the Tale of Ada Lovelace." Stephen outlines Ada Lovelace's contributions to the Analytical Engine and speculates what may have happened to it had Ada not died an early death. Read the blog post here: https://wolfr.am/ada

Pip Willcox and David De Roure give a presentation on Ada Lovelace, one of the early pioneers in computing. In the 200 years since Ada Lovelace’s birth, she has been celebrated, neglected, and taken up as a symbol for any number of causes and ideas. A symposium to mark the 200th anniversary of her birth narrated many of these, including accounts of her generative relationship with Charles Babbage and his Difference and Analytical Engines. This talk traces some of the paths the idea of Lovelace has taken, what basis they have in her life, and what her reception tells us about our own scholarship and society. It goes on to describe our experimental work responding to Lovelace and Babbage, and to the operatic ‘Ada sketches’ of composer Emily Howard. We created a Web application to produce music from maths through programming a digital simulation of the Analytical Engine, after Lovelace’s idea that "the engine might compose elaborate and scientific pieces of music of any degree of complexity or extent.

Show notes at ocdevel.com/mlg/2 Updated! Skip to [00:29:36] for Data Science (new content) if you've already heard this episode. What is artificial intelligence, machine learning, and data science? What are their differences? AI history. Hierarchical breakdown: DS(AI(ML)). Data science: any profession dealing with data (including AI & ML). Artificial intelligence is simulated intellectual tasks. Machine Learning is algorithms trained on data to learn patterns to make predictions. Artificial Intelligence (AI) - Wikipedia Oxford Languages: the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. AlphaGo Movie, very good! Sub-disciplines Reasoning, problem solving Knowledge representation Planning Learning Natural language processing Perception Motion and manipulation Social intelligence General intelligence Applications Autonomous vehicles (drones, self-driving cars) Medical diagnosis Creating art (such as poetry) Proving mathematical theorems Playing games (such as Chess or Go) Search engines Online assistants (such as Siri) Image recognition in photographs Spam filtering Prediction of judicial decisions Targeting online advertisements Machine Learning (ML) - Wikipedia Oxford Languages: the use and development of computer systems that are able to learn and adapt without following explicit instructions, by using algorithms and statistical models to analyze and draw inferences from patterns in data. Data Science (DS) - Wikipedia Wikipedia: Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining, machine learning and big data. History Greek mythology, Golums First attempt: Ramon Lull, 13th century Davinci's walking animals Descartes, Leibniz 1700s-1800s: Statistics & Mathematical decision making Thomas Bayes: reasoning about the probability of events George Boole: logical reasoning / binary algebra Gottlob Frege: Propositional logic 1832: Charles Babbage & Ada Byron / Lovelace: designed Analytical Engine (1832), programmable mechanical calculating machines 1936: Universal Turing Machine Computing Machinery and Intelligence - explored AI! 1946: John von Neumann Universal Computing Machine 1943: Warren McCulloch & Walter Pitts: cogsci rep of neuron; Frank Rosemblatt uses to create Perceptron (-> neural networks by way of MLP) 50s-70s: "AI" coined @Dartmouth workshop 1956 - goal to simulate all aspects of intelligence. John McCarthy, Marvin Minksy, Arthur Samuel, Oliver Selfridge, Ray Solomonoff, Allen Newell, Herbert Simon Newell & Simon: Hueristics -> Logic Theories, General Problem Solver Slefridge: Computer Vision NLP Stanford Research Institute: Shakey Feigenbaum: Expert systems GOFAI / symbolism: operations research / management science; logic-based; knowledge-based / expert systems 70s: Lighthill report (James Lighthill), big promises -> AI Winter 90s: Data, Computation, Practical Application -> AI back (90s) Connectionism optimizations: Geoffrey Hinton: 2006, optimized back propagation Bloomberg, 2015 was whopper for AI in industry AlphaGo & DeepMind

in a translation of a paper on the Analytical Engine, Ada Lovelace improved upon L. F. Menambrea's work by applying rigor to the calculations that he performed. But then she took things one iteration further. In fact, she took things n iterations further. She wrote the first computer program, using the backtracking feature of the Analytical Engine to perform loops. The Lambda Calculus contains only functions. Evaluating a function is merely rewriting it to replace its parameter with its argument. How then can we represent something like numbers in a language with no primitives? We do it by writing a function that calls another function a certain number of times. The function that calls it once is the number 1. The function that calls it 100 times is the number 100. Alonzo Church demonstrated that these "Church Numerals" could be operated upon by other functions to calculate any computable number. We gain a great deal of confidence in our code if we can reason about the value of variables. What better way to know what a variable contains than to make sure it never changes? Immutability is not just a feature of functional programming languages. It's useful in object-oriented languages like C# and Java as well.

1855: The Industrial Revolution is in full and inexorable swing, powered by steam-driven cybernetic Engines. Charles Babbage perfects his Analytical Engine and the computer age arrives a century ahead of its time. And three extraordinary characters race toward a rendezvous with history - and the future. - goodreads.com

In this talk Imogen Forbes-Macphail, University of California, Berkeley, contextualises Lovelace's work on the engines against the backdrop of Romantic thought surrounding the power of poetry and the nature of original composition.

In this talk graphic artist and animator Sydney Padua talks about her bestselling graphic novel "The Thrilling Adventures of Lovelace and Babbage". She will also display her 3D animations of how the Analytical Engine would have looked and operated.

Zu ihrem Vater, Lord Byron, hatte sie zu Lebzeiten keinen Kontakt, dafür ist sie neben ihm begraben. Ein Zeitsprung über Augusta Ada Byron King, Countess of Lovelace, die heute als erste Programmiererin der Welt gilt. Die Maschine, die ihren Code ausführen sollte, die Analytical Engine, ist aber nie gebaut worden. Und der Plan, das fehlende Geld für die Fertigstellung durch Pferdewetten zu verdienen, ist nicht aufgegangen.

A century before the first electronic computers, there was the Analytical Engine, a giant, coal-powered mechanical brain. Sounds like a steampunk fantasy, but it was the real deal: a general-purpose computer capable not only of number-crunching but also logical operations. Not even its inventor, the brilliant and eccentric Victorian-era mathematician Charles Babbage, grasped its full potential. It was his friend and fellow visionary Ada Lovelace, daughter of Lord Byron, who had that critical insight. Alas, though worked out in painstaking detail by Babbage, the Analytical Engine was never built. But now it's been drawn – at least parts of it – by the illustrator and animator Sydney Padua. Sydney's new book, "The Thrilling Adventures of Lovelace and Babbage: The (Mostly) True Story of the First Computer," mixes comics, explanatory footnotes, historical documentation and some wonderful cartoon diagrams. It's a funny and absorbing portrait of one of history's great intellectual partnerships – and the magnificent machine that brought them together.

Logo design used to be more fun: back when MTV was invented, and it was the only music video channel on the planet, they could have tons of fun with their logo, and make it work just as well on … The post Will that logo work on your website AND on your swag? appeared first on Analytical Engine.

Logo design used to be more fun: back when MTV was invented, and it was the only music video channel on the planet, they could have tons of fun with their logo, and make it work just as well on … The post Will that logo work on your website AND on your swag? appeared first on Analytical Engine.

We discuss Ada Lovelace as the first computer programmer and her work with Charles Babbage on his Difference Engine and Analytical Engine. Plus we discuss Daredevil, Studio Ghibli, Old Tucson, Mailbag, and more!

Gaming: from educational kids games, to games on live TV, to gamification in the military: Bing Gordon once said that game techniques and skills are going to be the foundation upon which all interactions will be based, someday very soon.  … The post Gaming and Gamification: when do games make good business sense? appeared first on Analytical Engine.

Gaming: from educational kids games, to games on live TV, to gamification in the military: Bing Gordon once said that game techniques and skills are going to be the foundation upon which all interactions will be based, someday very soon.  … The post Gaming and Gamification: when do games make good business sense? appeared first on Analytical Engine.

“Persuasive Design” is a great name for communication methods that guide your users or customers along the conversion paths that you lay out, that gives them incentives to add value to your platform by interacting, and that makes them want to … The post Persuasive Design: leverage it for your business appeared first on Analytical Engine.

“Persuasive Design” is a great name for communication methods that guide your users or customers along the conversion paths that you lay out, that gives them incentives to add value to your platform by interacting, and that makes them want to … The post Persuasive Design: leverage it for your business appeared first on Analytical Engine.

Fan fiction happens when the story world crafted by the original content creator is so compelling and so open for possibilities, that people see themselves in it. The kind of media that inspires fan fiction has been called “Spreadable Media” … The post Marketing Rebellion Podcast Episode 010 appeared first on Analytical Engine.

Fan fiction happens when the story world crafted by the original content creator is so compelling and so open for possibilities, that people see themselves in it. The kind of media that inspires fan fiction has been called “Spreadable Media” … The post Marketing Rebellion Podcast Episode 010 appeared first on Analytical Engine.

What does Branding, Product development, and Lean Startup have in common?  Experience Design.  Whether you call them your audience, your users, or your customers, their experience and the evidence-based design of that experience is becoming a critical business function.  Join … The post Marketing Rebellion Podcast Episode 009 appeared first on Analytical Engine.

What does Branding, Product development, and Lean Startup have in common?  Experience Design.  Whether you call them your audience, your users, or your customers, their experience and the evidence-based design of that experience is becoming a critical business function.  Join … The post Marketing Rebellion Podcast Episode 009 appeared first on Analytical Engine.

SXSW Interactive: the annual pilgrimage of the internet faithful to Austin Texas is drawing to a close and the biggest buzz for Marketing Rebellion listeners is all about new ways to tell your story, building your business and your brand by … The post Marketing Rebellion Podcast Episode 008 appeared first on Analytical Engine.

SXSW Interactive: the annual pilgrimage of the internet faithful to Austin Texas is drawing to a close and the biggest buzz for Marketing Rebellion listeners is all about new ways to tell your story, building your business and your brand by … The post Marketing Rebellion Podcast Episode 008 appeared first on Analytical Engine.

Consistency is key for content publishers: if you want to leverage the power of content to create a relationship of trust between your brand and your audience, users, or clients, be consistent!  This applies to the frequency or schedule you … The post Marketing Rebellion Podcast Episode 006 appeared first on Analytical Engine.

Consistency is key for content publishers: if you want to leverage the power of content to create a relationship of trust between your brand and your audience, users, or clients, be consistent!  This applies to the frequency or schedule you … The post Marketing Rebellion Podcast Episode 006 appeared first on Analytical Engine.

Speak to your niche: it’s working for Go Pro.  They managed to go up against heavy hitters Sony and Canon in the prosumer video camera space and have come out on top, with a brilliant user generated content plan and strategic … The post Marketing Rebellion Podcast Episode 005 appeared first on Analytical Engine.

Speak to your niche: it’s working for Go Pro.  They managed to go up against heavy hitters Sony and Canon in the prosumer video camera space and have come out on top, with a brilliant user generated content plan and strategic … The post Marketing Rebellion Podcast Episode 005 appeared first on Analytical Engine.

Video is one of the most compelling ways to tell the story of your organization and content market your business, and you are your business’ greatest asset.  But what if you don’t know how to translate your passion and knowledge … The post Marketing Rebellion Podcast Episode 004 appeared first on Analytical Engine.

Video is one of the most compelling ways to tell the story of your organization and content market your business, and you are your business’ greatest asset.  But what if you don’t know how to translate your passion and knowledge … The post Marketing Rebellion Podcast Episode 004 appeared first on Analytical Engine.

Inspiration or perspiration? Both are important when creating great content, whether it be blogging, logo design, or even song writing.  Steve Diguer (@TorontoPRJ) fills us in on some of the songwriting tips he has learned over the years that have enabled … The post Marketing Rebellion Podcast Episode 003 appeared first on Analytical Engine.

Inspiration or perspiration? Both are important when creating great content, whether it be blogging, logo design, or even song writing.  Steve Diguer (@TorontoPRJ) fills us in on some of the songwriting tips he has learned over the years that have enabled … The post Marketing Rebellion Podcast Episode 003 appeared first on Analytical Engine.

Ada Lovelace and Emmy Noether - Dames of Mathematics Right click here and save as to downloadFurther Reading:Ada Lovelace"Ada: The Enchantress of Numbers" by Betty Toole (2010)"The Calculating Passion of Ada Byron" by Joan Baum (1986)"Ada, Countess of Lovelace, Byron's only Legitimate Daughter" by Doris Langley Moore (1977)"Ada: A Life and Legacy" by Dorothy Stein (1985)Sketch of the Analytical Engine by L. Menebrea. Notes by Ada Lovelace. (1843)Great comic on Hark a VagrantUnbelievably thorough historiography of Ada Lovelace on Victorian Geek, invaluable resource on who said what when about Ada's much-contended legacy.An Archetypal Bad Death: The Case of Ada Lovelace from Death in the Victorian Family by Patricia Jailand (2000)Emmy Noether"Modern Mathematicians" by Harry Henderson. (1996)."The Mother of Modern Algebra" by M.B.W Tent (2008).Great video lecture with Ransom Stephens:Music: "Don't Make me Prove it" - Veruca Salt

A modern nerd legend for you this week, as we chat to John Graham-Cumming about his new project, Plan 28, which aims to "finish Babbage's work" by raising the cash to build an Analytical Engine from original plans. John has previously successfully petitioned the Government to formally apologise for the treatment of Alan Turing, and [...]

London, 1833. Ada Lovelace, the 19-year-old daughter of Lord Byron and Annabella Millbank, is introduced to an eccentric genius, Charles Babbage. Babbage shows her a prototype of a calculating machine he has invented called a Difference Engine. The two minds connect immediately, and Ada continues to work with Babbage until in 1844 he shows her his plans for another machine, the Analytical Engine. This machine uses hole-punched cards as programmes which tell it how to calculate the problems presented to it. In this moment, Ada sees a future that would not come into being for another 100 years. She saw that if the Analytical Engine could be programmed to calculate, it could pretty much be programmed to do anything. And thus, she gave us the blueprints for computer programming as we know it.

London, 1833. Ada Lovelace, the 19-year-old daughter of Lord Byron and Annabella Millbank is introduced to an eccentric genius, Charles Babbage. Babbage shows her a prototype of a calculating machine he has invented called a Difference Engine. The two minds connect immediately, and Ada continues to work with Babbage until in 1844 he shows her his plans for another machine, the Analytical Engine. This machine uses hole-punched cards as programmes which tell it how to calculate the problems presented to it. In this moment, Ada sees a future that would not come into being for another 100 years. She saw that if the Analytical Engine could be programmed to calculate, it could pretty much be programmed to do anything. And thus, she gave us the blueprints for computer programming as we know it.

Free temporary phone numbers, sounds for sleeping, barbecue grilling calculator, searching the Net using Sputtr, Profiles in IT, Ada Lovelace (first programmer), Charles Babbage (inventor Analytical Engine, first programmable mechanical computer), Digicomp mechanical computer kit, NASA satellite completes Venus fly-by, and space shuttle Atlantis launched. This show originally aired on Saturday, June 9, 2007, at 9:00 AM EST on Washington Post Radio (WTWP) Radio.

Free temporary phone numbers, sounds for sleeping, barbecue grilling calculator, searching the Net using Sputtr, Profiles in IT, Ada Lovelace (first programmer), Charles Babbage (inventor Analytical Engine, first programmable mechanical computer), Digicomp mechanical computer kit, NASA satellite completes Venus fly-by, and space shuttle Atlantis launched. This show originally aired on Saturday, June 9, 2007, at 9:00 AM EST on Washington Post Radio (WTWP) Radio.