Podcasts about cellular automata

Ben-Zion and the team at wombo.ai are making waves in Bittensor again with their new Subnet 36 Pyramid Scheme (bringing Cellular Automata to Bittensor) along with taopill.ai and a new subnet analyzer tool called tao360. These contributions along with their continued success in optimizing Stable Diffusion XL on 4090s on S39 EdgeMaxxing puts them in a league of their own. Ben-Zion is one of the spiciest personalities we have involved in Bittensor and I always appreciate the flavor he brings to any conversation. Enjoy!  https://www.wombo.ai/ https://x.com/benzion_b https://www.w.ai/ https://taopill.ai/ https://x.com/benzion_b https://huggingface.co/spaces/wombo/edge-maxxing-dashboard https://x.com/benzion_b/status/1858673043188707593 https://bittensor.guru/ https://taostats.io/validators/5HK5tp6t2S59DywmHRWPBVJeJ86T61KjurYqeooqj8sREpeN        

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more.   In this episode of the Eye on AI podcast, we dive into the world of quantum consciousness with Stuart Hameroff, a pioneer in the field of consciousness studies and co-developer of the controversial Orch OR theory.   Stuart Hameroff takes us on a journey through the intersection of quantum mechanics and the human mind, explaining how microtubules within neurons could be the key to unlocking the mysteries of consciousness.   Stuart delves into his work with physicist Roger Penrose, where they propose that consciousness arises from quantum processes in the brain, deeply embedded in the fabric of spacetime itself. We explore how this theory challenges mainstream neuroscience, which often reduces the mind to simple neural activity, and instead suggests that consciousness may have a profound connection to the universe's underlying structure.   Throughout the conversation, Stuart addresses the debate over AI consciousness, asserting that true conscious experience cannot arise from mere computation but requires quantum processes. He shares insights on the latest experiments in anesthesia and quantum biology, offering a fresh perspective on how the brain might function on a deeper, quantum level.   Join us as we unpack the groundbreaking Orch OR theory and what it could mean for the future of science, technology, and our understanding of reality.   Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest cutting-edge discussions in AI, quantum theory, and consciousness research!     Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI     (00:00) Preview (03:26) Consciousness and Dualism vs. Materialism (04:51) Anesthesia and Consciousness: Hameroff's Perspective (07:30) Roger Penrose's Perspective on Consciousness (09:51) Penrose's Explanation of Quantum Superposition (12:52) The Collapse of Quantum Superposition and Consciousness (14:41) Microtubules and Their Role in Consciousness (17:08) Critique of Current Neuroscience Approaches (22:28) Discovering the Microtubule's Role in Information Processing (26:08) Microtubules as Cellular Automata (28:48) The Role of Frohlich Coherence in Quantum Biology (31:27) Meeting Roger Penrose and Connecting with His Work (33:52) Collaboration with Penrose: Developing the Theory (37:05) Challenges and Criticisms of the Theory (43:06) Advances in Quantum Consciousness Research (46:18) Hierarchical Models in the Brain (51:10) Entanglement and Consciousness (55:03) The Mystery of Anesthesia's Selective Impact on Consciousness (57:07) Quantum Effects and Anesthesia's Mechanism (01:00:22) The Search for Anesthesia's Target Protein (01:04:30) Experimental Evidence for Quantum Effects in Biology (01:09:33) Consciousness as a Quantum Physical Effect

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Thank you to everyone who helped Bittensor Guru reach 7% of the network with nearly 369,000+ Tao! In this episode, I share a dream I had on Christmas morning and some synchronicities that are leading to our enthusiastic development of the cellular automata subnet on Bittensor.  https://en.wikipedia.org/wiki/John_von_Neumann https://www.rule30prize.org/ https://cs.stanford.edu/people/eroberts/courses/soco/projects/2001-02/cellular-automata/beyond/ca.html https://www.youtube.com/watch?v=C2vgICfQawE&t=261s - 4:21 for 1221 synchronicity https://x.com/RobertKennedyJr/status/1743493173845115214?s=20 https://www.youtube.com/watch?v=D18GrKTAmog https://www.amazon.com/Time-Loops-Precognition-Retrocausation-Unconscious/dp/1938398920    

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: Talk: "AI Would Be A Lot Less Alarming If We Understood Agents", published by johnswentworth on December 18, 2023 on LessWrong. This is a linkpost for a talk I gave this past summer for the ALIFE conference. If you haven't heard of it before, ALIFE (short for "artificial life") is a subfield of biology which... well, here are some of the session titles from day 1 of the conference to give the gist: Cellular Automata, Self-Reproduction and Complexity Evolving Robot Bodies and Brains in Unity Self-Organizing Systems with Machine Learning Untangling Cognition: How Information Theory can Demystify Brains ... so you can see how this sort of crowd might be interested in AI alignment. Rory Greig and Simon McGregor definitely saw how such a crowd might be interested in AI alignment, so they organized an alignment workshop at the conference. I gave this talk as part of that workshop. The stated goal of the talk was to "nerd-snipe ALIFE researchers into working on alignment-relevant questions of agency". It's pretty short (~20 minutes), and aims for a general energy of "hey here's some cool research hooks". If you want to nerd-snipe technical researchers into thinking about alignment-relevant questions of agency, this talk is a short and relatively fun one to share. Thankyou to Rory and Simon for organizing, and thankyou to Rory for getting the video posted publicly. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org

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: Talk: "AI Would Be A Lot Less Alarming If We Understood Agents", published by johnswentworth on December 18, 2023 on LessWrong. This is a linkpost for a talk I gave this past summer for the ALIFE conference. If you haven't heard of it before, ALIFE (short for "artificial life") is a subfield of biology which... well, here are some of the session titles from day 1 of the conference to give the gist: Cellular Automata, Self-Reproduction and Complexity Evolving Robot Bodies and Brains in Unity Self-Organizing Systems with Machine Learning Untangling Cognition: How Information Theory can Demystify Brains ... so you can see how this sort of crowd might be interested in AI alignment. Rory Greig and Simon McGregor definitely saw how such a crowd might be interested in AI alignment, so they organized an alignment workshop at the conference. I gave this talk as part of that workshop. The stated goal of the talk was to "nerd-snipe ALIFE researchers into working on alignment-relevant questions of agency". It's pretty short (~20 minutes), and aims for a general energy of "hey here's some cool research hooks". If you want to nerd-snipe technical researchers into thinking about alignment-relevant questions of agency, this talk is a short and relatively fun one to share. Thankyou to Rory and Simon for organizing, and thankyou to Rory for getting the video posted publicly. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org

Aarthi and Sriram's Good Time Show ✓ Claim Key Takeaways By keeping the mechanics of your life as straightforward as possible, you can increase the amount of effort you put into the intellectual, creative side of your lifeChatGPT is adding a word at a time and figuring out the likely way that humans would continue that particular piece of text, based on what they have written in a few billion web pages“This whole idea of computational language just got much more exciting … because it becomes this medium for communication and collaboration between humans and AIs.” – Stephen Wolfram  In the end, the world will have a civilization of AIs that have an infrastructure that operates in these ways that humans cannot readily understandIronically, this is the situation that humans have been in with respect to the natural world the whole of our existenceThe natural world does all types of computations that we do not really understand, and yet we coexist with the natural world  Read the full notes @ podcastnotes.org0:00 Intro 1:54 How Stephen Wolfram approaches productivity 6:12 Stephen's day-in-life 7:45 Stephen's outlook on artificial intelligence 13:05 The human brain-artificial intelligence analogy 16:40 Wolfram's unique approach to GPT 31:00 The Pi computation 34:14 Risks of AI 45:32 Stephen's X factor 51:36 Are things as complex as they seem? 1:03:00 Do the simple things right Renowned physicist, mathematician, and computer scientist Stephen Wolfram joined us on the podcast to discuss AI, physics, and more. We explored the state of artificial intelligence and the challenges and opportunities it presents. Stephen shared his insights into the computational universe and cellular automata and their relationship to physics.

Aarthi and Sriram's Good Time Show ✓ Claim Key Takeaways By keeping the mechanics of your life as straightforward as possible, you can increase the amount of effort you put into the intellectual, creative side of your lifeChatGPT is adding a word at a time and figuring out the likely way that humans would continue that particular piece of text, based on what they have written in a few billion web pages“This whole idea of computational language just got much more exciting … because it becomes this medium for communication and collaboration between humans and AIs.” – Stephen Wolfram  In the end, the world will have a civilization of AIs that have an infrastructure that operates in these ways that humans cannot readily understandIronically, this is the situation that humans have been in with respect to the natural world the whole of our existenceThe natural world does all types of computations that we do not really understand, and yet we coexist with the natural world  Read the full notes @ podcastnotes.org0:00 Intro 1:54 How Stephen Wolfram approaches productivity 6:12 Stephen's day-in-life 7:45 Stephen's outlook on artificial intelligence 13:05 The human brain-artificial intelligence analogy 16:40 Wolfram's unique approach to GPT 31:00 The Pi computation 34:14 Risks of AI 45:32 Stephen's X factor 51:36 Are things as complex as they seem? 1:03:00 Do the simple things right Renowned physicist, mathematician, and computer scientist Stephen Wolfram joined us on the podcast to discuss AI, physics, and more. We explored the state of artificial intelligence and the challenges and opportunities it presents. Stephen shared his insights into the computational universe and cellular automata and their relationship to physics.

0:00 Intro1:54 How Stephen Wolfram approaches productivity6:12 Stephen's day-in-life7:45 Stephen's outlook on artificial intelligence13:05 The human brain-artificial intelligence analogy16:40 Wolfram's unique approach to GPT31:00 The Pi computation34:14 Risks of AI45:32 Stephen's X factor51:36 Are things as complex as they seem?1:03:00 Do the simple things rightRenowned physicist, mathematician, and computer scientist Stephen Wolfram joined us on the podcast to discuss AI, physics, and more. We explored the state of artificial intelligence and the challenges and opportunities it presents. Stephen shared his insights into the computational universe and cellular automata and their relationship to physics.

Stephen Wolfram answers questions from his viewers about business, innovation, and managing life as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-business-qa Questions include: Can you use Wolfram Language to log onto a website with username and password and read data from a website? - Will computational chem/Biochem programs (Alphafold2?) be accurate enough in its predictions to completely dominate private R&D to reduce the costs and duration of expensive wet lab experimentation? - When did you first decide to hire people at Wolfram Research? How did you recruit & evaluate them? What have you learned about hiring since then? - ​have you ever authentically read and replied to an unsolicited email if someone has an important idea for Mathematica and/or the Wolfram Language? - Do you have developers that work in a large variety of topics (changing monthly perhaps), or are most in a 'fixed' position/topic? - When you reach the level you do with Wolfram Research, what steps do you undertake to ensure that you continue to innovate and don't lose ground to your competitors, and that you don't take the wrong business decisions? - As someone with a technical background, how do you maintain a holistic overview of your company? For instance, do you better attempt to understand the company's financial books? - what is your work out routine? - how do you balance time being creative (for projects) vs the everyday necessary work? - At the start of crypto projects there is always this battle between centralization and decentralization. You need an amount of centralization in the beginning to get things going. How long should a project be given before you let in the masses? - Do you have an opinion concerning "Poor Charlie's almanacs: The Wit and Wisdom of Charles T. Munger"? - Do you use rules similar to those in Cellular Automata when you manage your company or your company's projects?

Quantum scientist have also shown that an array of Single electron Transistor - SETs create a form of neural network." SETs construct computers that use individual electrons to carry information. SET biggest problem is operating at room temperature. Quantum tunneling means the can "interact capacitively rather than by current flow throught the wires." "When their interactions result from the quantum tunneling of electrons, quantum dots can collectively behave as a form of quantum cellular automaton, QCA. QCA computers may show associative memory. If Decoherence can be avoid a qbit can form with a 0 or 1 or superposition state of both at the same time. 5 qbits could handle 32 states (2^n), simulateously; a conventional computer would handle 32 sets of 5 bits, or 160 bits in all. 64 bit encryption could be processed with one 64 qubit operation, whereas, a conventional computer requiring 2^64, 1.84 x10^19 operations or 292.5 years, 18 billion billion times more powerful than a 64 bit binary computer. --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Host Gil Elbaz welcomes Andrew J. Davison, the father of SLAM. Andrew and Gil dive right into how SLAM has evolved and how it started. They speak about Spatial AI and what it means along with a discussion about global belief propagation. Of course, they talk about robotics, how it's impacted by new technologies like NeRF and what is the current state-of-the-art. Timestamps and Topics [00:00:00] Intro [00:02:07] Early Research Leading to SLAM [00:04:49] Why SLAM [00:08:20] Computer Vision Based SLAM [00:09:18] MonoSLAM Breakthrough [00:13:47] Applications of SLAM [00:16:27] Modern Versions of SLAM [00:21:50] Spatial AI [00:26:04] Implicit vs. Explicit Scene Representations [00:34:32] Impact on Robotics [00:38:46] Reinforcement Learning (RL) [00:43:10] Belief Propagation Algorithms for Parallel Compute [00:50:51] Connection to Cellular Automata [00:55:55] Recommendations for the Next Generation of Researchers Interesting Links: Andrew Blake Hugh Durrant-Whyte John Leonard Steven J. Lovegrove Alex Mordvintsev Prof. David Murray Richard Newcombe Renato Salas-Moreno Andrew Zisserman A visual introduction to Gaussian Belief Propagation Github: Gaussian Belief Propagation A Robot Web for Distributed Many-Device Localisation In-Place Scene Labelling and Understanding with Implicit Scene Representation Video Video: Robotic manipulation of object using SOTA Andrew Reacting to NERF in 2020 Cellular automata Neural cellular automata Dyson Robotics Guest Bio Andrew Davison is a professor of Robot Vision at the Department of Computing, Imperial College London. In addition, he is the director and founder of the Dyson robotics laboratory. Andrew pioneered the cornerstone algorithm - SLAM (Simultaneous Localisation and Mapping) and has continued to develop SLAM in substantial ways since then. His research focus is in improving & enhancing SLAM in terms of dynamics, scale, detail level, efficiency and semantic understanding of real-time video. SLAM has evolved into a whole new domain of “Spatial AI” leveraging neural implicit representations and the suite of cutting-edge methods creating a full coherent representation of the real world from video. About the Host I'm Gil Elbaz, co-founder and CTO of Datagen. I speak with interesting computer vision thinkers and practitioners. I ask the big questions that touch on the issues and challenges that ML and CV engineers deal with every day. On the way, I hope you uncover a new subject or gain a different perspective, as well as enjoying engaging conversation. It's about much more than the technical processes. It's about people, journeys and ideas. Turn up the volume, insights inside.

Stephen Wolfram answers questions from his viewers about the history science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qa Questions include: How much of your work on cellular automata was influenced by Ulam's work during the Manhattan Project? - ​How do you approach studying the history of technology to inform your work on current projects? Do you do very targeted studies when starting a project? How much historical context is enough? - ​Is there a list of Wolfram recommended history of science and technology books? - What was it about ancient Greece that allowed for great advancements in math and science and great thinkers? - Could you talk about the history on Ed Fredkin's work and if its similar to your work about Cellular Automata? - In 2001: A Space Odyssey, the alien monolith is a Von Neumann probe. Is it rectangular because of the cellular automata inspiration? - ​What is the book top right with the horse's head? Just curious! - What do you think is the significance of the antikythera mechanism? How close do you think the Greeks were to a technological civilization? - Have you read Asimov's Foundation? Do you think psychohistory could actually be an actual science with real predictive power? Does it need to find pockets of computational reducibility - ​You said the cellular automata experiments you did in the 80s could have been done in Los Alamos, why do you think those weren't done then?

A tech takeover this week with special guest Fran Buontempo talking about Cellular Automata – a cool techie toy for exploring the links between computation, complexity and life, or at the very least a sort-of interesting way of generating some

An emergent behavior or emergent property can appear when a number of simple entities operate in an environment, forming more complex behaviours as a collective. If emergence happens over disparate size scales, then the reason is usually a causal relation across different scales. Weak emergence describes new properties arising in systems as a result of the low-level interactions, these might be interactions between components of the system or the components and their environment. In our epic introduction we focus a lot on the concept of self-organisation, complex systems, cellular automata and strong vs weak emergence. In the main show we discuss this more in detail with Dr. Daniele Grattarola and cover his recent NeurIPS paper on learning graph cellular automata. YT version: https://youtu.be/MDt2e8XtUcA Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/ESrGqhf5CB Featuring; Dr. Daniele Grattarola Dr. Tim Scarfe Dr. Keith Duggar Prof. David Chalmers Prof. Ken Stanley Prof. Julian Togelius Dr. Joscha Bach David Ha Dr. Pei Wang [00:00:00] Special Edition Intro: Emergence and Cellular Automata [00:49:02] Intro to Daniele and CAs [00:57:23] Numerical analysis link with CA (PDEs) [00:59:50] The representational dichotomy of discrete and continuous at different scales [01:05:21] Universal computation in CAs [01:10:27] Computational irreducibility [01:16:33] Is the universe discrete? [01:20:49] Emergence but with the same computational principle [01:23:10] How do you formalise the emergent phenomenon [01:25:44] Growing cellular automata [01:33:53] Openeded and unbounded computation is required for this kind of behaviour [01:37:31] Graph cellula automata [01:43:40] Connection to protein folding [01:46:24] Are CAs the best tool for the job? [01:49:37] Where to go to find more information

Definitely worth watching for the graphics I created as I think this might be one of our best episodes yet!In Episode #262 of 'Meanderings' Juan and I discuss: what the 2020's will be remembered for, Juan's unbelievable humility (hahahahaha), thoughts on the stories humans tell, ridiculous but truthful fiction, how ideas travel in the world, the awesome dolls created in the 18th century, Stephen Wolfram's & the Mandelbrot set and getting your money hacked from creative bad people.As always, we hope you enjoy. Mere Mortals out!Timeline:(0:00) - The Roaring 2020's(3:28) - Juan the Social Media King(6:25) - BS Stories(10:11) - How truthful is humanity(15:52) - Juan's blog post & subjectivity(18:38) - The Shit Angel & fictitious stories(23:36) - Covid misinformation and idea proliferation(32:08) - Censorship(36:13) - Jaquet Droz Automaton(41:28) - Cellular automata & complexity(45:59) - Key loggers & Russian spying(49:38) - V4V & FountainConnect with Mere Mortals:Website: https://www.meremortalspodcast.com/Discord: https://discord.gg/jjfq9eGReUInstagram: https://www.instagram.com/meremortalspodcast/

How does a network of individual neural cells become a brain? How does a neural network learn, hold information and exhibit intelligence? While neurobiologists study how nature achieves this feat, computer scientists interested in artificial intelligence attempt to achieve it through technology. Are there ideas that researchers in the field of artificial intelligence borrow from their counterparts in the field of neuroscience? Can a better understanding of the development and working of the biological brain lead to the development of improved AI? In his book “The Self-Assembling Brain: How Neural Networks Grow Smarter” professor Peter Robin Hiesinger explores stories of both fields exploring the historical and modern approaches. In this episode of Bridging the Gaps, I speak with professor Peter Robin Hiesinger about the relationship between what we know about the development and working of biological brains and the approaches used to design artificial intelligence systems. We start our conversation by reviewing the fascinating research that led to the development of neural theory. Professor Hiesigner suggests in the book that to understand what makes a neural network intelligent we must find the answer to the question: is this connectivity or is this learning that makes a neural network intelligent; we look into this argument. We then discuss “the information problem” that how we get information in the brain that makes it intelligent. We also look at the nature vs nurture debate and discuss examples of butterflies that take multigenerational trip, and scout bees that inform the bees in the hive the location and distance of the food. We also discuss the development of the biological brain by GNOME over time. We then shift the focus of discussion to artificial intelligence and explore ideas that the researchers in the field artificial intelligence can borrow from the research in the field of neuroscience. We discuss processes and approaches in the field of computing science such as Cellular Automata, Algorithmic Information Theory and Game of Life and explore their similarities with how GENOME creates the brain over time. This has been an immensely informative discussion. Complement this discussion by listening to “The Spike: Journey of Electric Signals in Brain from Perception to Action with Professor Mark Humphries” available at: https://www.bridgingthegaps.ie/2021/06/the-spike-journey-of-electric-signals-in-brain-from-perception-to-action-with-professor-mark-humphries/ And then listen to “On Task: How Our Brain Gets Things Done” with Professor David Badre” available at: https://www.bridgingthegaps.ie/2021/02/on-task-how-our-brain-gets-things-done-with-professor-david-badre/

This week the Eigenbros welcome return guest Jonathan Gorard (@getjonwithit), Associate Director of Research at the Wolfram Physics Project and researcher at the University of Cambridge. He discusses starting from spacetime being discretized, particles, emergence and much more

George joins Matt to chat about Cellular Automata, Viper and Lucy If you enjoy the show please go over to www.Patreon.com/Interplanetary and become a Patron or even a producer of the show. If you enjoy why not join the BIS at www.bis-space.com the oldest space advocacy organisation in the world. www.interplanetary.org.uk Hosts: George Russell and Matt Russell Music: Matt Russell / Iam7 Cover Image: ESA Additional Narration: Polly Twitter @interplanetypod

Clip: Sebastian Risi "Growing Machines With Neural Cellular Automata In Minecraft" by Marwa ElDiwiny

create complex

In this episode we were joined by the boy wonder Deep Prasad!   Deep joined us to talk about his side hobby Unidentified Aerial Phenomena (UAPs), the 5 observables of UAPs, and how they map to material science and new physics.  We dove into cellular automata as it relates to experiencers and the implications UAPs on the tech world in this decade!   Enjoy Ad-Free and Exclusive Content on Patreon or Rokfin: https://rokfin.com/blackpillradio https://www.patreon.com/blackpillradio_   THANK YOU FOR JOINING US!!   You can find Deep at: Twitter: @deepneuron   Special Shoutout to our sponsors: Carat Coin The highest paying coin and jewelry shop in Northeast Ohio, Free Appraisals, Home Appraisals and Appointments all week! www.caratcoin.com Ebay Store: https://www.ebay.com/str/caratcoin    C60 EVO – ESS60 The Cleanest C60! https://www.c60evo.com/blackpillradio/ Coupon Code: EVSB   Heavy Metal Detox - Zeolite https://regalsupplements.com?AFFID=494442   Moon Rock Asteroid CBD! Dr. Strains CBD: https://bit.ly/3eLCeFO   The Best Fitness Delivery Subscription, cool stuff each month! Gainz Box: https://bit.ly/3hlaKIJ Coupon Code: GZ10   Organic & Natural Body Care Products! Dr. Squatch: https://bit.ly/3hto91h Coupon Code: DSCBRICC10   Best VPN for Privacy! VPN Proxy Master: https://bit.ly/3bsdPCO   Book List: https://www.amazon.com/shop/blackpillradio_   Find us on IG & Twitter: @blackpillradio_   #UAP #UFO #cellularautomata #observables #experiencer #quantum #quantumcomputing #sentientbeings #extraterrestrials

Alexander Mordvintsev, the creator of DeepDream, Alex is a research scientist at Google Google Research on Deep Neural Network visualization.

Clip: Alexander Mordvintsev "Growing Neural Cellular Automata For Soft Robots"

Jak makes a case for VR universities + Viewer questions & something called Cellular Automata

Juan & Terence give their first impressions on Wolfram's Physics Project, released around the state of the coronavirus pandemic.

Stephen Wolfram is a computer scientist, mathematician, and theoretical physicist who is the founder and CEO of Wolfram Research, a company behind Mathematica, Wolfram Alpha, Wolfram Language, and the new Wolfram Physics project. He is the author of several books including A New Kind of Science, which on a personal note was one of the most influential books in my journey in computer science and artificial intelligence. Support this podcast by signing up with these sponsors: – ExpressVPN at https://www.expressvpn.com/lexpod – Cash App – use code “LexPodcast” and download: – Cash App (App Store): https://apple.co/2sPrUHe – Cash App (Google Play):

00:23 Bill Venners 00:33 Scala Days-2019 03:00 Scala Days vs Java One 07:06 Talks Bill attended 07:50 Run Scala Faster with GraalVM on any Platform by Vojin Jovanovic @vojjov 10:00 Cellular Automata by Maciej Gorywoda https://www.videoscribe.co/en/ 10:33 Scala.js and WebAssembly by Sébastien Doeraene @sjrdoeraene 14:55 Double your performance by Li Haoyi @li_haoyi 15:05 ScalaWebTest by Dani Rey @danireych 17:17 In Types We Trust by Bill 31:48 Best location for Scala Days 34:10 Artima 34:34 Programming in Scala book 34:40 ScalaTest 34:44 Scalactic 36:16 SuperSafe 39:14 OSS 45:23 Typelevel sustainability program 2019 45:54 Thanks Patrons 47:52 Artima services 50:27 A Tour of Scala 3 by Martin Odersky @odersky 53:13 Scalafix 56:15 TASTy 59:14 The Scala Center Advisory Board 62:23 bill@artima.com 63:33 Moderation 69:48 Changes in the Scala book 77:37 The language everyone complains about

The boys help organise a rugby training scheme, set robots upon an infinite hotel and discover some lovely patterns in the probability of Snakes and Ladders. Odds and Evenings Twitter - https://twitter.com/OddsAndEvenings Website - http://www.oddsandevenings.com Topics discussed Rugby Training Problem Busy Beavers Gamble Shambles Show Notes Articles written by Alaric on Langton's: * Loops (Introduction) (http://www.alaricstephen.com/main-featured/2017/6/27/langtons-loops) * Loops (Evolving) (http://www.alaricstephen.com/main-featured/2017/6/27/improvements-to-langtons-loops) * Ant (http://www.alaricstephen.com/main-featured/2016/12/13/langtons-ant) Busy Beaver on Wikipedia (https://en.wikipedia.org/wiki/Busy_beaver) Noether's Theorem (https://en.wikipedia.org/wiki/Noether%27s_theorem) The Music Episode (http://www.oddsandevenings.com/21) Maths Jam (that you should totally be attending) (https://mathsjam.com/find-a-jam/) Credits Hosted By Alaric - http://alaricstephen.com Alex - http://twitter.com/speakmouthwords Editing by Alex Appreciation of the phrase Busy Beavers by Alaric Theme music by David Russell - https://youtube.com/DavidRussell323

The boys get as spooky as they can with cellular automata, have a maths conversation about maths conversations and can't get past the fact that Brunnian and Borromean sound too similar. Odds and Evenings Twitter - https://twitter.com/OddsAndEvenings Website - http://www.oddsandevenings.com Topics discussed Zombies and Vampires The Maths of Conversations Brunnian Pumpkin Carving Show Notes Follow Up Maths Jam Annual Gathering Page (https://www.solipsys.co.uk/cgi-bin/MJ_Wiki.py?FrontPage) The Shade (Alex's New Podcast) (https://hacking.finance/read/?c=the-shade) Maths From the Show SIR Model Introduction by Alaric (http://www.alaricstephen.com/main-featured/2016/9/24/modelling-a-pandemic) SIR Model You Can Play With (https://docs.google.com/spreadsheets/d/1HxS1GttDPT8eDOhTIfOYckueArSJjGb5VfOr1hgqLno/edit?usp=sharing) Borromean Rings (https://en.wikipedia.org/wiki/Borromean_rings) Brunnian Links (https://en.wikipedia.org/wiki/Brunnian_link)(more generalised) Pochhammer's Countour (https://en.wikipedia.org/wiki/Pochhammer_contour) A Classic Video on Brunnian Links (https://www.youtube.com/watch?v=heKK95DAKms&ab_channel=Vihart) (in the form of snakes), by Vi Hart Credits Hosted By Alaric - http://alaricstephen.com Alex - http://twitter.com/speakmouthwords Editing by Alex Following of the brief: bring halloween problems by Alaric Theme music by David Russell - https://youtube.com/DavidRussell323

The fabric of the natural world is an issue of no small contention: philosophers and truth-seekers universally debate about and study the nature of reality, and exist as long as there are observers in that reality. One topic that has grown from a curiosity to a branch of mathematics within the last century is the topic of cellular automata. Cellular automata are named as such for the simple reason that they involve discrete cells (which hold a (usually finite and countable) range of values) and the cells, over some field we designate as "time", propagate to simple automatic rules. So what can cellular automata do? What have we learned from them? And how could they be involved in the future of the way we view the world? --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/breakingmathpodcast/support

As our last episode of Programming By Stealth before our spring break, Bart wraps up our Cellular Automaton. He goes through his solution to the PBS 49 challenge first, and then he walks us through three examples of how a user could produce three different representations with our code. He demonstrates how to build a Conway Game of Life, the Maze Rule, and Brian's Brain. It's fun to see it all wrapped in a bow ending this long project. We'll be back on March 31st with a whole new project. Bart's full tutorial shownotes are at bartbusschots.ie/...

As our last episode of Programming By Stealth before our spring break, Bart wraps up our Cellular Automaton. He goes through his solution to the PBS 49 challenge first, and then he walks us through three examples of how a user could produce three different representations with our code. He demonstrates how to build a Conway Game of Life, the Maze Rule, and Brian's Brain. It's fun to see it all wrapped in a bow ending this long project. We'll be back on March 31st with a whole new project. Bart's full tutorial shownotes are at bartbusschots.ie/...

As promised last week, Bart Busschots brings us the second half of Programming By Stealth 49. We start by going through a lot of revision on JavaScript objects. It's really great to have all of this all in one place, and I got to ask a few questions that have been bugging me for a long time. I understood every bit of this and really enjoyed it, but I'm not going to lie, his little 6-part test after the revision baffled me a bit. But after we slog through that part, Bart gets us back on track improving our Cellular Automata. I never realized that we didn't actually define whether our cells are dead or alive!

As promised last week, Bart Busschots brings us the second half of Programming By Stealth 49. We start by going through a lot of revision on JavaScript objects. It's really great to have all of this all in one place, and I got to ask a few questions that have been bugging me for a long time. I understood every bit of this and really enjoyed it, but I'm not going to lie, his little 6-part test after the revision baffled me a bit. But after we slog through that part, Bart gets us back on track improving our Cellular Automata. I never realized that we didn't actually define whether our cells are dead or alive!

In this week's episode of Programming By Stealth, Bart had intended to work on improving our Cellular Automata, but we ended up spending a lot more time on reviewing the challenges from last week that we stopped before getting to the new stuff. The good news is that we're going to do the Cellular Automata improvements in only one week (it will be PBS 49B), and we have no homework for the week! As always, Bart's excellent tutorial shownotes are available at bartbusschots.ie/....

In this week's episode of Programming By Stealth, Bart had intended to work on improving our Cellular Automata, but we ended up spending a lot more time on reviewing the challenges from last week that we stopped before getting to the new stuff. The good news is that we're going to do the Cellular Automata improvements in only one week (it will be PBS 49B), and we have no homework for the week! As always, Bart's excellent tutorial shownotes are available at bartbusschots.ie/....

This week Bart Busschots joins us to talk about HTML Form Validation. We'll get back to our Cellular Automata next week. Bart has also decided that we're going to get our feet a little bit yet by using GitHub where we'll be getting the challenges and solutions from now on. You can see Bart's awesome tutorial at bartbusschots.ie/...

This week Bart Busschots joins us to talk about HTML Form Validation. We'll get back to our Cellular Automata next week. Bart has also decided that we're going to get our feet a little bit yet by using GitHub where we'll be getting the challenges and solutions from now on. You can see Bart's awesome tutorial at bartbusschots.ie/...

Chit Chat Across the Pond this week is another episode of Programming By Stealth with Bart Busschots. I'm very proud of the fact that I completed my homework, writing a program from scratch that passed all of the tests written by Bart. It took me 12 hours, and nearly 4 hours of Dorothy's time helping me do it, but I got 'er done. In this installment, 36 of x, we learn some more HTML, specifically about all the cool things the input tag can do, like creating invisible forms which is just weird but also very cool. The challenge this week is a flip on last week. This week Bart has written the next bit of code for us and we have to create the tests. It's as challenging as all the rest but it's just as fun. And of course you can find Bart's fabulous tutorial show notes at bartbusschots.ie/...

In this episode, we talk about cellular automata - including the Game of Life - and graph theory, and interviewed Jonathan Crofts from Nottingham Trent University about his research on complex networks in neuroscience. Show notes and more episodes via www.furthermaths.org.uk/podcasts

W. Elmenreich and I. Fehérvári. Evolving self-organizing cellular automata based on neural network genotypes. In C. Bettstetter, C. Gershenson, editor, Proceedings of the Fifth International Workshop on Self-Organizing Systems.

This weeks episode sees a much needed change in focus - be gone all that talk of capitalist exploitation and systemic failure! Today we talk with world renowned mathematician, computer scientist, and philosopher Professor Gregory Chaitin about his latest work. Prof. Chaitin has spent the last number of years trying to come up with a mathematical proof of the power of evolution - how evolutionary randomness is practically as good as divine creation! Amazing stuff, indeed. During this work, he came to the realisation that the standard theory of evolutionary genetics is probably completely wrong, and discusses the latest revolutionary thoughts in the field of biology. We also discuss Gödel's seminal 'incompleteness' theorem, it's far reaching implications for philosophy, spirituality, and epistemology. Von Neumann's Theory of Cellular Automata and Turing's work on the computer also get a mention, and we finish with Professor Chaitin's hope for a mathematical theory of consciousness. Quite a heady mix. Please don't be scared off by the talk of theorems - you will likely miss an interview with one of the true intellectual giants of our time. You can buy Professor Chaitins new work here: http://www.amazon.co.uk/Proving-Darwin-Biology-Mathematical-ebook/dp/B006E512HU And here is the full back catalogue of the Professors writings: (much recommended) http://www.amazon.co.uk/s/ref=ntt_athr_dp_sr_1?_encoding=UTF8&field-author=Gregory%20J.%20Chaitin&search-alias=books-uk Enjoy!

M.A. Wheel and B. Edmans (Department of Mechanical Engineering, University of Strathclyde) Thursday 8 January 2009, 14.50-15.15

Paul Reiners, a software engineer at IBM and Sun-certified Java programmer is the author of a developerWorks Java technology zone article, Pointillism meets pixelation: Using the Java 2D API to animate art. He talks about it here.