Podcasts about computational

Chris, Ade and Jeremiah explore the ways new technology can help you make fantastic photos.

Video zur Episode Text-/Audio-/Videokommentar einreichen HS-Hörer:innen im Slack treffen Aus der Preshow Boris Rechner ist ausgelastet WERBUNG: Saal Digital – 30% mit Gutschein-Code HAPPY30SAAL (alles groß geschrieben) (Gutschein in Großbuchstaben eingeben, nur einmal je Person und Haushalt einlösbar, nicht mit anderen Gutscheinen oder Aktionen kombinierbar, Versandkosten nicht enthalten) HS Workshops Workshops Ausblick Workshops 2026 und … „#910 – Villageister“ weiterlesen

Chris, Ade and Jeremiah explore the ways new technology can help you make fantastic photos.

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-qaTopics discussed: Education and self-learning - Patents and the innovation process - Computational thinking - Philosophy and ethics of AI - Decision-making and collaboration

This and all episodes at: https://aiandyou.net/ .     I'm talking with Megan Peters, who researches thinking about thinking, or metacognition. She is an Associate Professor in the UC Irvine Department of Cognitive Sciences, studying how the brain represents and uses uncertainty, focusing on how these abilities support metacognitive evaluations of the quality of our decisions. She's a Fellow in the UCI Center for the Neurobiology of Learning and Memory, the UCI Center for Theoretical Behavioral Sciences, and the Canadian Institute for Advanced Research (CIFAR) Brain Mind & Consciousness program. She's also President and Co-founder of Neuromatch, an educational platform serving over 30,000 students in over 120 countries across computational neurosciences, deep learning, computational climate science, and neuroAI. In our conclusion, we talk about Turing Tests, measuring the brain, the Haunted Mansion, some cool experiments on brains, and… cats. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.            

Chris, Ade and Jeremiah explore the ways new technology can help you make fantastic photos.

Video zur Episode Text-/Audio-/Videokommentar einreichen HS-Hörer:innen im Slack treffen Aus der Preshow Halbomat, alles auflassen WERBUNG: Saal Digital – 30% mit Gutschein-Code HAPPY30SAAL (alles groß geschrieben) (Gutschein in Großbuchstaben eingeben, nur einmal je Person und Haushalt einlösbar, nicht mit anderen Gutscheinen oder Aktionen kombinierbar, Versandkosten nicht enthalten) HS Workshops Workshops News Viltrox wird Teil der … „#909 – Das ist Physik. Das geht nicht.“ weiterlesen

This and all episodes at: https://aiandyou.net/ . Have you ever thought about thinking? That's called metacognition, and Megan Peters thinks about that, a lot. She is an Associate Professor in the UC Irvine Department of Cognitive Sciences, researching how the brain represents and uses uncertainty, focusing on how these abilities support metacognitive evaluations of the quality of our decisions. She's a Fellow in the UCI Center for the Neurobiology of Learning and Memory, the UCI Center for Theoretical Behavioral Sciences, and the Canadian Institute for Advanced Research (CIFAR) Brain Mind & Consciousness program. She's also President and Co-founder of Neuromatch, an educational platform serving over 30,000 students in over 120 countries across computational neurosciences, deep learning, computational climate science, and neuroAI. We get really meta here: talking about thinking about thinking,  how we build models of the world, how language shapes our thinking, whether AI is doing metacognition in its chains of thought, statistical learning in AIs and humans, consciousness in humans and animals and AIs, and theories of consciousness. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.            

Hausmeisterei Video zur Episode Text-/Audio-/Videokommentar einreichen HS-Hörer:innen im Slack treffen Aus der Preshow Wo denn in Norwegen?, Delay-Effekte, Wer hat den längeren Grad? WERBUNG: Saal Digital – 30% mit Gutschein-Code HAPPY30SAAL (alles groß geschrieben) (Gutschein in Großbuchstaben eingeben, nur einmal je Person und Haushalt einlösbar, nicht mit anderen Gutscheinen oder Aktionen kombinierbar, Versandkosten nicht enthalten) … „#908 – Wuchtbrumme“ weiterlesen

Chris, Ade and Jeremiah explore the ways new technology can help you make fantastic photos.

The Australian Government has announced that the Iranian Government “directed” at least two attacks against Australia’s Jewish community.Two police officers have been killed and another injured in a shooting in Victoria’s north-east.Former NSW Police officer Beau Lamarre-Condon has pleaded not guilty to murdering Sydney couple Luke Davies and Jesse Baird, and to a charge of breaking and entering.And today’s good news: Computational designers at UNSW have 3D-printed reef structures to restore oyster populations in Sydney.Hosts: Harry Sekulich and Lucy TassellProducer: Elliot Lawry Want to support The Daily Aus? That's so kind! The best way to do that is to click ‘follow’ on Spotify or Apple and to leave us a five-star review. We would be so grateful. The Daily Aus is a media company focused on delivering accessible and digestible news to young people. We are completely independent. Want more from TDA?Subscribe to The Daily Aus newsletterSubscribe to The Daily Aus’ YouTube Channel Have feedback for us?We’re always looking for new ways to improve what we do. If you’ve got feedback, we’re all ears. Tell us here.See omnystudio.com/listener for privacy information.

In this conversation, Neil Ashton interviews Prof. Johannes Brandstetter, a physicist turned machine learning expert, about his journey from academia to industry, focusing on the application of machine learning in engineering and computational fluid dynamics (CFD). They discuss the Aurora project, the challenges of integrating machine learning with engineering, and the importance of data in training models. Johannes shares insights on the use of transformers in modeling, the significance of resolution independence, and the role of open-source practices in advancing the field. The conversation also touches on the challenges of founding a startup and the need for multidisciplinary collaboration in tackling complex engineering problems.Links: Github: https://brandstetter-johannes.github.ioEmmi AI: https://www.emmi.aiGoogle scholar: https://scholar.google.com/citations?user=KiRvOHcAAAAJ&hl=deAB-UPT transform paper: https://arxiv.org/abs/2502.09692Chapters00:00 Introduction to Johannes Brandstetter07:10 The Aurora Project and Key Learnings11:15 Machine Learning in Engineering and CFD17:19 Challenges with Mesh Graph Networks20:16 Transformers in Physics Modeling31:14 Tokenization in CFD with Transformers39:58 Challenges in High-Dimensional Meshes41:08 Inference Time and Mesh Generation41:36 Neural Operators and CAD Geometry45:59 Anchor Tokens and Scaling in CFD48:40 Data Dependency and Multi-Fidelity Models50:32 The Role of Physics in Machine Learning54:28 Temporal Modeling in Engineering Simulations56:58 Learning from Temporal Dynamics1:00:58 Stability in Rollout Predictions1:03:48 Multidisciplinary Approaches in Engineering1:05:18 The Startup Journey and Lessons Learned

Chris, Ade and Jeremiah explore the ways new technology can help you make fantastic photos.

Christopher N. Warren delivered the 2025 Sol M. and Mary Ann O'Brian Malkin Lecture, “What is Computational Bibliography?”, on 30 July 2025. You can watch the full recording of the lecture on YouTube at https://youtu.be/ElvNacFyoWQ?feature=shared.

Hausmeisterei Video zur Episode Text-/Audio-/Videokommentar einreichen HS-Hörer:innen im Slack treffen Aus der Preshow Hornissen, und Saugroboter, Woche mit lauter Montagen #hshi / #hsnachtrag von Michael zu Schwarzweiß Dias. Von Tetenal gab es ein Umkehr-Kit. von Thomas: Panasonic FZ1000 und FZ2000 eingestellt? von Dieter zur hohen Drohnen-Strafe. HS Workshops HS Mensch 30.–31.08.2025 Viewfinder-Villa – Noch 4 … „#907 – Gesuppt“ weiterlesen

Hausmeisterei Video zur Episode Text-/Audio-/Videokommentar einreichen HS-Hörer:innen im Slack treffen Aus der Preshow In jungen Jahren, fehlende Zeit, Merkelpodcast, Twitchkommentare, Rückkanäle #hsfeedback Christian: WDR Zeitzeichen vom 01.08.25 über Gerda Taro, sie erfand Robert Capa HS Workshops HS Mensch 30.–31.08.2025 Viewfinder-Villa – Noch 5 Plätze frei News 231.000 Dollar für Drohnenflug “Neuer” Schwarz-Weiß-Diafilm Euston 400 Trampolin-Hasen … „#906 – Jung und blöd“ weiterlesen

Chris, Ade and Jeremiah explore the ways new technology can help you make fantastic photos.

UK & Ireland Director of Intelligence Enterprise at GlobalLogic, Tim Hatton, explores how principles of control theory, exemplified by SpaceX's Starship, apply to the design of effective enterprise agentic AI systems. Reaching for the stars has always been the pinnacle of human ingenuity. The relentless desire to push beyond known boundaries is what drives innovation and advancement all around the globe. The recent example of SpaceX's latest Starship spacecraft soaring into the skies and returning with precision isn't just a milestone in aerospace engineering - it's a vivid illustration of what's possible when our boundless creativity fuels cutting-edge technologies. SpaceX's success demonstrates that autonomous software can effectively control a sophisticated system and steer it toward defined goals. This seamless blend of autonomy, awareness, intelligent adaptability, and results-driven decision-making offers a compelling analogy for enterprises. It's a beacon for a future where agentic AI systems revolutionise workflows, drive innovation, and transform industries. Control theory: A proven framework Control theory underpins self-regulating systems that balance performance and adaptability. It dates from the 19th century when Scottish physicist and mathematician James Clerk Maxwell first described the operation of centrifugal 'governors'. Its core principles - feedback loops, stability, controllability, and predictability - brought humanity into the industrial age. Starting with stabilising windmill velocity, up to today's spaceflights, nuclear stations and nation-spanning electricity grids. We see control theory in action when landing a rocket, for example. The manoeuvre relies on sensors to measure actual parameters, controllers to adjust based on feedback, and the system to execute corrections. Comparing real-time data to desired outcomes minimises errors, ensuring precision and safety. It's a framework that extends to enterprise workflows. Employees function as systems, supervisors as controllers, and tasks as objectives. A seasoned worker might self-correct without managerial input, paralleling autonomous systems' ability to adapt dynamically. Challenges in agentic AI Agentic AI systems combine traditional control frameworks' precision with advanced AI models' generative power. However, while rockets rely on the time-tested principles of control theory, AI-driven systems are powered by large language models (LLMs). This introduces new layers of complexity that make designing resilient AI agents that deliver precision, adaptability, and trustworthiness uniquely challenging. Computational irreducibility: LLMs like GPT-4 defy simplified modelling. They are so complex and their internal workings so intricate that we cannot predict their exact outputs without actually running them. Predicting outputs requires executing each computational step, complicating reliability and optimisation. A single prompt tweak can disrupt workflows, making iterative testing essential, yet time-consuming. Nonlinearity and high dimensionality: Operating in high-dimensional vector spaces, with millions of input elements, LLMs process data in nonlinear ways. This means outputs are sensitive to minor changes. Testing and optimising the performance of single components of complex workflows, like text-to-SQL queries, under these parameters, becomes a monumental task. Blurring code and data: Traditional systems separate code and data. In contrast, LLMs embed instructions within prompts, mixing the two. This variability introduces a host of testing, reliability, and security issues. This blurring of ever-growing data sets with the prompts introduces variability that is difficult to model and predict, which also compounds the dimensionality problem described above. Stochastic behaviour: LLMs may produce different outputs for the same input due to factors like sampling methods during generation. This means they introduce randomness - an asset for creati...

Video-Version auf youtube Fast immer dienstags, gerne mal um 18:00 Uhr: Happy Shooting Live. Täglich im Slack mitmachen – auch Audio-/Videokommentare werden gern angenommen. Aus der Preshow: Fehlende Feature in Photoshop Beta, YouTube Shorts #hsfeedback von Dietmar: Alte Lightroom-Version 6 wie installiert? I’m Back Film für 390 CHF #hsfeedback zu Strg/Ctrl+D für Bookmark #hsfeedback zum … „#905 – Die KI hat ADHS“ weiterlesen

Stephen Wolfram answers general questions from his viewers about science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics: The Big Bang and expansion of space - Mathematics and physical reality - Computational foundations of biology - The role of kids in science and technology

Chris, Ade and Jeremiah explore the ways new technology can help you make fantastic photos.

Video-Version auf youtube Fast immer dienstags, gerne mal um 18:00 Uhr: Happy Shooting Live. Täglich im Slack mitmachen – auch Audio-/Videokommentare werden gern angenommen. Aus der Preshow: Deutsche Wörter, Bookmarks, Shortcuts, vi #hsfeedback von Peter: Irfanview gibt es nicht für Mac, Digicam schon #hsfeedback von Tim: Photomator bzw Pixelmator Pro #hsfeedback von Enrico zu Dronengebühren … „#904 – Hopium“ weiterlesen

Chris, Ade and Jeremiah explore the ways new technology can help you make fantastic photos.

Computational sciences offer an opportunity to increase global access to, and participation in, neuroscience. Neuromatch's inclusive, scalable model for community building shows how to realize this promise.

Textbooks don't just teach facts, they shape how children understand the world and their place in it. In this episode, UChicago economist Anjali Adukia discusses her study of textbooks across public schools, religious private schools, and homeschools. Using advanced AI tools to analyze tens of thousands of pages, she uncovers both unexpected similarities between politically divergent states and meaningful differences in how religious and secular curricula present topics from evolution to gender representation.

Dr. Maxwell Ramstead grills Guillaume Verdon (AKA “Beff Jezos”) who's the founder of Thermodynamic computing startup Extropic.Guillaume shares his unique path – from dreaming about space travel as a kid to becoming a physicist, then working on quantum computing at Google, to developing a radically new form of computing hardware for machine learning. He explains how he hit roadblocks with traditional physics and computing, leading him to start his company – building "thermodynamic computers." These are based on a new design for super-efficient chips that use the natural chaos of electrons (think noise and heat) to power AI tasks, which promises to speed up AND lower the costs of modern probabilistic techniques like sampling. He is driven by the pursuit of building computers that work more like your brain, which (by the way) runs on a banana and a glass of water! Guillaume talks about his alter ego, Beff Jezos, and the "Effective Accelerationism" (e/acc) movement that he initiated. Its objective is to speed up tech progress in order to “grow civilization” (as measured by energy use and innovation), rather than “slowing down out of fear”. Guillaume argues we need to embrace variance, exploration, and optimism to avoid getting stuck or outpaced by competitors like China. He and Maxwell discuss big ideas like merging humans with AI, decentralizing intelligence, and why boundless growth (with smart constraints) is “key to humanity's future”.REFS:1. John Archibald Wheeler - "It From Bit" Concept00:04:45 - Foundational work proposing that physical reality emerges from information at the quantum levelLearn more: https://cqi.inf.usi.ch/qic/wheeler.pdf 2. AdS/CFT Correspondence (Holographic Principle)00:05:15 - Theoretical physics duality connecting quantum gravity in Anti-de Sitter space with conformal field theoryhttps://en.wikipedia.org/wiki/Holographic_principle 3. Renormalization Group Theory00:06:15 - Mathematical framework for analyzing physical systems across different length scales https://www.damtp.cam.ac.uk/user/dbs26/AQFT/Wilsonchap.pdf 4. Maxwell's Demon and Information Theory00:21:15 - Thought experiment linking information processing to thermodynamics and entropyhttps://plato.stanford.edu/entries/information-entropy/ 5. Landauer's Principle00:29:45 - Fundamental limit establishing minimum energy required for information erasure https://en.wikipedia.org/wiki/Landauer%27s_principle 6. Free Energy Principle and Active Inference01:03:00 - Mathematical framework for understanding self-organizing systems and perception-action loopshttps://www.nature.com/articles/nrn2787 7. Max Tegmark - Information Bottleneck Principle01:07:00 - Connections between information theory and renormalization in machine learninghttps://arxiv.org/abs/1907.07331 8. Fisher's Fundamental Theorem of Natural Selection01:11:45 - Mathematical relationship between genetic variance and evolutionary fitnesshttps://en.wikipedia.org/wiki/Fisher%27s_fundamental_theorem_of_natural_selection 9. Tensor Networks in Quantum Systems00:06:45 - Computational framework for simulating many-body quantum systems https://arxiv.org/abs/1912.10049 10. Quantum Neural Networks00:09:30 - Hybrid quantum-classical models for machine learning applicationshttps://en.wikipedia.org/wiki/Quantum_neural_network 11. Energy-Based Models (EBMs)00:40:00 - Probabilistic framework for unsupervised learning based on energy functionshttps://www.researchgate.net/publication/200744586_A_tutorial_on_energy-based_learning 12. Markov Chain Monte Carlo (MCMC)00:20:00 - Sampling algorithm fundamental to modern AI and statistical physics https://en.wikipedia.org/wiki/Markov_chain_Monte_Carlo 13. Metropolis-Hastings Algorithm00:23:00 - Core sampling method for probability distributionshttps://arxiv.org/abs/1504.01896 ***SPONSOR MESSAGE***Google Gemini 2.5 Flash is a state-of-the-art language model in the Gemini app. Sign up at https://gemini.google.com

Video-Version auf youtube Fast immer dienstags, gerne mal um 18:00 Uhr: Happy Shooting Live. Täglich im Slack mitmachen – auch Audio-/Videokommentare werden gern angenommen. Aus der Preshow: eine nützliche Community, Ding-Dong, Eis ohne Eierlikör, Rum-Topf #hshi-Feedback vom Sponsor Detlev: Stahl-SD-Karte, Geodaten im Smartphone, LR Spiegelungenentfernen entfernt auch Flares, Spende #hshi-Feedback von Jens zu den Adobe-KI-Credits … „#903 – Wenn es Puff macht“ weiterlesen

Chris, Ade and Jeremiah explore the ways new technology can help you make fantastic photos.

Video-Version auf youtube Fast immer dienstags, gerne mal um 18:00 Uhr: Happy Shooting Live. Täglich im Slack mitmachen – auch Audio-/Videokommentare werden gern angenommen. Aus der Preshow: das is live!, wir hams doch im Griff, du brauchst mehr Ohren, Revolt stundenlang auf dem MacBook #hsfeedback von Peter: Mögliche „Villageister“ in der Viewfinder Villa – Klostergeister … „#902 – Grillhähnchen bedrucken“ weiterlesen

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:INLA is a fast, deterministic method for Bayesian inference.INLA is particularly useful for large datasets and complex models.The R INLA package is widely used for implementing INLA methodology.INLA has been applied in various fields, including epidemiology and air quality control.Computational challenges in INLA are minimal compared to MCMC methods.The Smart Gradient method enhances the efficiency of INLA.INLA can handle various likelihoods, not just Gaussian.SPDs allow for more efficient computations in spatial modeling.The new INLA methodology scales better for large datasets, especially in medical imaging.Priors in Bayesian models can significantly impact the results and should be chosen carefully.Penalized complexity priors (PC priors) help prevent overfitting in models.Understanding the underlying mathematics of priors is crucial for effective modeling.The integration of GPUs in computational methods is a key future direction for INLA.The development of new sparse solvers is essential for handling larger models efficiently.Chapters:06:06 Understanding INLA: A Comparison with MCMC08:46 Applications of INLA in Real-World Scenarios11:58 Latent Gaussian Models and Their Importance15:12 Impactful Applications of INLA in Health and Environment18:09 Computational Challenges and Solutions in INLA21:06 Stochastic Partial Differential Equations in Spatial Modeling23:55 Future Directions and Innovations in INLA39:51 Exploring Stochastic Differential Equations43:02 Advancements in INLA Methodology50:40 Getting Started with INLA56:25 Understanding Priors in Bayesian ModelsThank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad

Chris, Ade and Jeremiah explore the ways new technology can help you make fantastic photos.

Video-Version auf youtube Fast immer dienstags, gerne mal um 18:00 Uhr: Happy Shooting Live. Täglich im Slack mitmachen – auch Audio-/Videokommentare werden gern angenommen. Aus der Preshow: Noch 300 Tage bis Klostergeister, Kalte LEDs im Kühlschrank, Laptop beim Italiener #hshi von Andy: Lichtfeldkamera finde ich interessant, UV Drucker will ich haben #hshi von Christian: In … „#901 – Es geht um die Ballons“ weiterlesen

Chris, Ade and Jeremiah explore the ways new technology can help you make fantastic photos.

Video-Version auf youtube Fast immer dienstags, gerne mal um 18:00 Uhr: Happy Shooting Live. Täglich im Slack mitmachen – auch Audio-/Videokommentare werden gern angenommen. Aus der Preshow: bröselnder Waschbeton, gepushtes Update, Freibad-Öffnungszeiten Folge 900! Alte Videofolge mit Chris und Boris Happy Shooting jetzt auch mit Hosen Youtube-Shorts #hshi von Wilhelm: Es gibt nicht nur das … „#900 – Lichtlötfunktion“ weiterlesen

Chris, Ade and Jeremiah explore the ways new technology can help you make fantastic photos.

Computational neuroscientists rely on simplification when they make their models. But what is the right level of simplification? When should we, for example, use a biophysically detailed model and when a simplified abstract model when modelling neural dynamics? What are the problems of simplifying too much, or too little?   This was the topic of the panel discussion between a science philosopher (MC), author of the recent book “The Brain Abstracted”, and an experienced modeler (TS) at the FENS Regional Meeting in Oslo in June 2025. 

Chris, Ade and Jeremiah explore the ways new technology can help you make fantastic photos.

Video-Version auf youtube Fast immer dienstags, gerne mal um 18:00 Uhr: Happy Shooting Live. Täglich im Slack mitmachen – auch Audio-/Videokommentare werden gern angenommen. Aus der Preshow: Spaß mit Hermes, Fertig-Rouladen, an der Synchronizität gearbeitet. #hsfeedback von Manuel zu Boris iPhone-GPS-Problem #hsfollowup zu Großformat-Schlitten News: KI-Aussortier-Tools für Lightroom Snapseed 3.0 Leica Monopan 50 Film Urbex-Fotograf … „#899 – Panchromanisch“ weiterlesen

Chris, Ade and Jeremiah explore the ways new technology can help you make fantastic photos.

Video-Version auf youtube Fast immer dienstags, gerne mal um 18:00 Uhr: Happy Shooting Live. Täglich im Slack mitmachen – auch Audio-/Videokommentare werden gern angenommen. Aus der Preshow: Für ein Blatt? Internet weg. Es war Großformat-Workshop, Noch ein Platz beim Großformat-Workshop im Oktober frei, noch freie Plätze beim Mensch-Workshop und Licht-Workshop News: Neuer Analogfilm aus Deutschland … „#898 – Du Hengst“ weiterlesen

Chris, Ade and Jeremiah explore the ways new technology can help you make fantastic photos.

Video-Version auf youtube Fast immer dienstags, gerne mal um 18:00 Uhr: Happy Shooting Live. Täglich im Slack mitmachen – auch Audio-/Videokommentare werden gern angenommen. Aus der Preshow: muss ich mir das vibe-coden?, KI mach mal ein Overlay, wer ist alles da? #hshi vom Samuel: Nachtrag zu den Klostergeistern Drohnenwette: Spende an die Amadeu Antonio Stiftung … „#897 – Viel Brimborium“ weiterlesen Der Beitrag #897 – Viel Brimborium ist ursprünglich hier erschienen: Happy Shooting - Der Foto-Podcast.

Chris, Ade and Jeremiah explore the ways new technology can help you make fantastic photos.

Video-Version auf youtube Fast immer dienstags, gerne mal um 18:00 Uhr: Happy Shooting Live. Täglich im Slack mitmachen – auch Audio-/Videokommentare werden gern angenommen. Aus der Preshow: unscharf, ¡Hola!, Schublade Klostergeister revisited Klostergeister 2025: Offizielles Video Lob an die Teilnehmer Workshop umgestaltet Vorträge bis spät Abends O-Töne einiger Teilnehmer Vorstellung der Projektgruppen und Parallelkurse (Holzbildhauer … „#896 – Pinkes Einhorn auf der Kuhweide“ weiterlesen Der Beitrag #896 – Pinkes Einhorn auf der Kuhweide ist ursprünglich hier erschienen: Happy Shooting - Der Foto-Podcast.

مرور و بحث کتاب «مالکان ذهن»دانش پیش‌بینی و تغییر رفتار انسان با داده‌های بزرگنوشته ساندرا ماتزاستاد دانشکده اقتصاد دانشگاه کلمبیادانش آموخته روانشناسی و علوم اجتماعی به کمک محاسبات کامپیوتریComputational social scienceسال انتشار: ۲۰۲۵#مالکان_ذهن#صاحبان_ذهن#ساندرا_ماتز#ساندرا_متز#mindmasters #mind_masters#sandra_matz#پادکست#مرور_کتاب#کتاب_صوتی#ایمان_فانی#مدرسه_زندگی_فارسی#تحلیل#مطالعات_میان_رشته‌ای#podcast#interdisciplinary_Studies#iman_fani#persian_school_of_lifeبرای خرید ویدیوی وبینارهای مدرسه زندگی یا ثبت نام وبینارهای آینده از اینجا اقدام کنید:خرید دوره‌های آموزشی در خارج از کشور:https://imanfani.thinkific.comخرید دوره‌های آموزشی در ایران:https://b2n.ir/a19688https://imanfani.comhttps://instagram.com/dr_iman_fanihttps://telegram.me/dr_iman_fani Hosted on Acast. See acast.com/privacy for more information.

Fast immer dienstags, gerne mal um 18:00 Uhr: Happy Shooting Live. Täglich im Slack mitmachen – auch Audio-/Videokommentare werden gern angenommen. Aus der Preshow: Der Mond ist ein Repeater für die Sonne, herunterfallende Mobiltelefone, kann man noch ein Bier holen? Neue Hörerinnen. Ist das shon die Preshow? Wie lange geht die Postshow? Bitte schreibt dazu, … „#895 – Ausschussmaschine“ weiterlesen Der Beitrag #895 – Ausschussmaschine ist ursprünglich hier erschienen: Happy Shooting - Der Foto-Podcast.

Stephen Wolfram answers general questions from his viewers about science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics: Conscious experience and perception - Brain structure and sensory extension - Brain manipulation and individuality - Consciousness and artificial systems - Computational theory and the brain

Colin Megill joins the Futurists to describe a new model for finding consensus in a time of political chaos and intense partisan division. He is the inventor of Pol.is, a powerful open-source platform for coordinating the feedback, opinions, and preferences of large dispersed groups. Polis has been successfully deployed by governments in Asia and Europe to find pockets of agreement amid partisan rancor.  If you crave an alternative to political division and polarization, don't miss this interview.

Kayleigh Houde is an Associate Principal and Global Computational Projects Lead at Buro Happold, where she is responsible for the harmonized development of new technologies within the open-source coding platform BHoM. Her leadership extends to chairing the MEP 2040 Commitment, participating in the ECHO Project and ASHRAE Center of Excellence for Building Decarbonization. She is also a lecturer at the University of Pennsylvania, where she teaches Parametric Life Cycle Assessment. We spoke with Kayleigh soon after the MEP 2040 and Carbon Leadership Forum had released The Beginner's Guide to MEP Embodied Carbon, a critical resource that was eagerly awaited in the community. Naturally, we spoke with her about that effort and about the broader question of why embodied carbon is important for MEP practitioners. “We have coalesced a lot of data to to bridge gaps for the MEP disciplines and provide clarity about the MEP impact,” she says.Kayleigh's technical leadership is paralleled by her deep commitment to collaboration across disciplines, evidenced in many ways, including her work on the ECHO effort to harmonize data across disciplines and certification programs. “Computers aren't the thing,” Kayleigh says of the potential of computation in climate work and the built environment. “They are the thing that gets you to the thing. Really, what computations helps you to solve are some of issues that we have in human collaboration. Sometimes we think we're connecting but we are not really speaking the same language. Getting people to talk and collaborate is a big part of the solution in the computational work.”

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