Podcasts about computational

Video zur Episode Text-/Audio-/Videokommentar einreichen HS-Hörer:innen im Slack treffen Aus der Preshow Geschwindigkeitsbeschränkung, Stau auf der A7 HS Workshops Workshops JETZT ONLINE HS Workshop-Newsletter Bitte gebt Feedback, welcher Wochentag für den Online-Worshop am besten passt. Testimonials von Workshopteilnehmern gesucht Alte Newsletter funktionieren nicht mehr, bitte neu anmelden Neue Newsletter Klostergeister-Anmeldung ab 04.11.2025 Statt Werbung DANKE … „#917 – Amuse-Gueule“ weiterlesen

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PREVIEW: Quantum Computing: The Next Frontier Guest: Brandon Weichert Brandon Weichert reports on quantum computing as the "next wave" and frontier of computational power. Google recently achieved a major breakthrough by successfully testing stable quantum communication. While AI currently dominates technological discourse, Weichert believes that within 10 to 20 years, AI must be paired with quantum technology to fulfill its transformative potential. Quantum computing represents the next evolutionary leap in information processing capabilities, capable of solving problems intractable for classical computers and fundamentally reshaping industries from pharmaceuticals to cryptography.

This episode features Dr. Joao Xavier PhD, a systems biologist from Memorial Sloan Kettering Cancer Center, speaking about the application of ecological principles and tools to individuals being treated for cancer. His lab combines multi-omics profiling with ecological models to generate insights on how microbes interact with each other, for application to clinical risk prediction and microbiota-focused interventions. He has studied individuals receiving bone marrow transplantation, who take antibiotics to prepare for treatment; the antibiotics cause significant gut microbiota shifts and the risk of bloodstream infections increases, so his lab is looking at whether the gut microbiota could mitigate this risk. Currently microbiome monitoring is not being used clinically in patients receiving cancer treatments, but a path exists for gaining the evidence needed to make this feasible and useful. Potentially, microbiome monitoring could allow physicians to move from reactive treatment with antibiotics to proactive intervention that prevents serious infections. Or the clinician could simulate potential treatment scenarios and figure out which one is the most beneficial. Probiotics could be administered to shape the microbiome – but rather than adding microorganisms that may simply be missing, these probiotics would be developed by thinking about the microbiome outcome and how to pressure the ecosystem in a certain direction. Episode abbreviations and links: Review in Nature Reviews Clinical Oncology, arguing for the relevance of microbiota management guided by ecological principles in cancer care: making the case for Ecological management of the microbiota in patients with cancer Mouse study investigating what may drive an increase in oral bacteria within the fecal microbiota and how it may link to patient outcomes: Oral bacteria relative abundance in faeces increases due to gut microbiota depletion and is linked with patient outcomes About Dr. Joao Xavier PhD: Joao B. Xavier, PhD, is a faculty member in the Program for Computational and Systems Biology at Memorial Sloan Kettering Cancer Center in New York. His lab combines experiments, computational modeling, and clinical data to study how the human microbiota influences cancer treatment outcomes. Dr. Xavier's work has uncovered links between gut bacteria, immune recovery, and infection risk in patients undergoing intensive therapies such as allogeneic hematopoietic stem cell transplantation. He recently authored a Nature Reviews Clinical Oncology article (2025) proposing “ecological management” of the microbiota in oncology. This approach applies principles of ecosystem management to preserve beneficial microbes, minimize treatment-related damage, and guide precision interventions. He was awarded the 2026 ASM Microbiome Data Prize by the American Society for Microbiology in recognition of these contributions. His group collaborates broadly across clinical and basic sciences to develop microbiota-informed strategies that could improve responses to chemotherapy, immunotherapy, and infection control.

Hausmeisterei Video zur Episode Text-/Audio-/Videokommentar einreichen HS-Hörer:innen im Slack treffen Aus der Preshow Mikrophone, Restream Bot, Solo Show HS Workshops Workshops 2026 HS Workshop-Newsletter Bitte gebt Feedback, welcher Wochentag für den Online-Worshop am besten passt. Testimonials von Workshopteilnehmern gesucht https://tfttf.com/testimonial Alte Newsletter funktionieren nicht mehr, bitte neu anmelden Alte Newsletter Neue Newsletter Statt Werbung DANKE … „#916 – Zucken im rechten Klickfinger“ weiterlesen

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How can computational neuroscience contribute to developing neurotechnology to help people with brain disorders and disabilities? This was the topic of a panel debate I hosted at the 34th Annual Computational Neuroscience Meeting in Florence in July this year. Electric or magnetic recording and/or stimulation are key clinical tools for helping patients, and the three panelists have all used computational methods to aid this endeavor.  

Hausmeisterei Video zur Episode Text-/Audio-/Videokommentar einreichen HS-Hörer:innen im Slack treffen Aus der Preshow so nen cut, mal eben Audiobeitrag, halbwegs synchron HS Workshops Workshops HS Workshop-Newsletter Letzte Chance: Zwei Tage, die Deine Fotografie verändern 2026 wird wild Statt Werbung DANKE an alle Spender #hshi / #hsnachtrag #hshi von Hendrik: wegen Kamerabody BF von Sigma News … „#914 – Chris hängt“ weiterlesen

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The Cognitive Crucible is a forum that presents different perspectives and emerging thought leadership related to the information environment. The opinions expressed by guests are their own, and do not necessarily reflect the views of or endorsement by the Information Professionals Association. During this episode, Bob Thibadeau returns to the Cognitive Crucible and discusses the fundamentals of computational cognitive neuroscience and privacy.  He asserts that everyone should manage a million identities on an embodied chip, share these identities selectively, and change them frequently. Recording Date: 29 Sep 2025 Resources: Cognitive Crucible Podcast Episodes Mentioned #5 Robert Thibadeau on Lies The Internet Court of Truth Robotaxies: Blackmail Comes of Age and the Need for Identity MegaChips (YouTube) Fiat Lies are Genocide on the Human Race (YouTube) Fiat Lies are Genocide on the Human Race (Medium) Flashy Crypto Chipped: A Storage OEM View (YouTube) Robert Thibadeau's Medium Site Frequency-hopping spread spectrum (Wikipedia) Heider and Simmel (1944) animation (YouTube) Link to full show notes and resources Guest Bio: Professor Bob Thibadeau has been affiliated with Carnegie Mellon University School of Computer Science since 1979. His expertise is in Cognitive Science, AI, and Machine Learning. Prof Thibadeau is one of the founding Directors of the Robotics Institute. And, he is author of the book “How to Get Your Lies Back: The Internet Court of Lies.”  Watch his recent Liecourt.com or truthcourt.net trials at https://www.truthcourt.net/sponsor/thibadeau.  “Fiat Lies are Genocide on the Human Race”  is a brief summary of the book available on Medium.com. It is tried for its truthfulness off his TruthCourt.net sponsor page. or directly at https://www.youtube.com/watch?v=qp-Q_Vqm7Eo. His "million identities to protect your privacy," also on Medium.com, is tried for its truthfulness at https://www.youtube.com/watch?v=tyxTdFlmZY8. About: The Information Professionals Association (IPA) is a non-profit organization dedicated to exploring the role of information activities, such as influence and cognitive security, within the national security sector and helping to bridge the divide between operations and research. Its goal is to increase interdisciplinary collaboration between scholars and practitioners and policymakers with an interest in this domain. For more information, please contact us at communications@information-professionals.org. Or, connect directly with The Cognitive Crucible podcast host, John Bicknell, on LinkedIn. Disclosure: As an Amazon Associate, 1) IPA earns from qualifying purchases, 2) IPA gets commissions for purchases made through links in this post.

Traditional, unilateral, centralized control is obsolete. When autonomous systems generate orders of magnitude more data than they can transmit, intelligence must live at the edge - and this constraint is revolutionizing everything from spacecraft to supply chains to healthcare.William Van Dalsem, 42-year NASA veteran and Stanford adjunct lecturer, reveals why the future belongs to systems that think for themselves---not because it's elegant, but because physics demands it.The Paradigm Shift:→ The Edge Intelligence Imperative: Spacecraft orbiting Earth collect far more data than they can download---typically an order of magnitude difference. Factory sensors and autonomous vehicles face the same constraint. The bottleneck isn't computing power-it's bandwidth. Intelligence must live where decisions are made.→ From "What" to "How": Organizations fail by conflating objectives with methods. Saying you need to "land on Mars using retro rockets" eliminates every methodological alternative you haven't imagined. Separate the destination from the journey.→ The Modular Revolution: Van Dalsem's son built a state-of-the-art gaming computer from plug-and-play components---nearly supercomputer performance at home. What if spacecraft---or supply chains, or organizations---worked the same way? Standards enable innovation; vertical integration constrains it. Ecosystem Impact:→ Air traffic management evolved from one operator per aircraft to systems managing thousands of autonomous vehicles---the same pattern emerging in warehouse robotics, smart cities, and distributed manufacturing→ Google's autonomous vehicles trained on moon-and-back distances (250,000 miles), capturing 90-99% of scenarios, yet still encounter situations they haven't seen - AI lacks mental models of physical reality. When confused, systems must "phone home," whether navigating streetsor diagnosing patients→ The academia-industry-government "triad": diversity of perspective matters more than depth of expertise for solving novel problemsThe Strategic Insight: Self-aware systems must be designed from inception, not retrofitted. Adding sensors to a Model T after it has been built isn't feasible. GE's digital transformation showed that "industrial equipment" must become "smart equipment" architecturally, not as an afterthought.The Hidden Risk: LLMs hallucinate, lack context, and harm team dynamics when one "AI master" disconnects from collaborative processes. They're trained on historical data, embedding obsolete assumptions. Computational tools amplify, rather than replace, human judgment.Strategic Reframe: Where must decisions be made, and what intelligence lives at the edge versus the center? Whether managing drone fleets, manufacturing networks, or distributed teams, resilient ecosystems distribute cognition across nodes rather than concentrating it in command centers.The Van Dalsem Principle: When you specify both the "what" and the "how," you've eliminated every innovation you didn't imagine. Problem-focused innovation opens the aperture for solutions you might never imagine.Guest: William Van Dalsem, Retired NASA Ames, Adjunct Lecturer, Stanford UniversityHost: Dyan Finkhousen, Founder & CEO, Shoshin WorksEcosystemic Futures is a systems foresight series provided by Shoshin Works, evolved from our collaboration with NASA's Convergent Aeronautics Solutions Project.

Stanislas DehaeneChaire Psychologie cognitive expérimentaleAnnée 2025-2026Collège de FranceColloque : Seeing the Mind, Educating the BrainTheme: Human SingularityThe What?, How? And Why? Of Behavior: Using Cognitive Computational Models to Answer Distinct Questions about Human CognitionColloque - Valentin Wyart : The What?, How? And Why? Of Behavior: Using Cognitive Computational Models to Answer Distinct Questions about Human CognitionValentin WyartRésuméQuantitative modeling approaches are routinely used in cognitive science to make sense of behavior. Statistical models are designed to test *what* specific patterns are present in behavior, whereas cognitive computational models are developed to describe *how* specific behavioral patterns may emerge from latent cognitive processes. These two types of modeling approaches have successfully identified characteristic (and sometimes suboptimal) features of human learning and decision-making under uncertainty. In this talk, I will argue that cognitive computational models can be used to answer the distinct question of *why* these characteristic features are there. I will use recent studies that rely on different classes of models (low-dimensional algorithmic models, high-dimensional neural networks) to explain characteristic features of human cognition in terms of latent objectives and constraints.

Hausmeisterei Video zur Episode Text-/Audio-/Videokommentar einreichen HS-Hörer:innen im Slack treffen Aus der Preshow Weiterleitungen, Ärscher mit Äscher, Kontakt aufnehmen HS Workshops Workshops HS Workshop-Newsletter Letzte Chance: Zwei Tage, die Deine Fotografie verändern 2026 wird wild Statt Werbung DANKE an alle Spender #hshi / #hsnachtrag #hsfeedback von Klaus zum Hotspot bei der Infrarotfotografie. Kommt vom Objektiv, … „#913 – Happy Schaaaf“ weiterlesen

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In this episode of The Dairy Podcast Show, Dr. Enrico Casella, from Penn State University, discusses how artificial intelligence drives innovation in dairy farming. From using computer vision to estimate body weight to implementing sustainable water management and monitoring heat stress, Dr. Casella explains high-impact solutions advancing cattle health and boosting efficiency on the farm. Tune in on all major platforms!"Depth cameras use height data instead of color, enabling precise bodyweight estimation in dairy systems."Meet the guest: Dr. Enrico Casella, Assistant Professor of Data Science for Animal Systems at Penn State University's Animal Science Department and Co-Hire of the Institute for Computational and Data Sciences, specializes in leveraging Artificial Intelligence (AI) for animal health and development. With a PhD in Computer Science from the University of Kentucky and postdoctoral experience at UW-Madison, his interdisciplinary research integrates AI, computer vision, and optimization techniques.Liked this one? Don't stop now — Here's what we think you'll love!What you'll learn:(00:00) Highlight(01:15) Introduction(01:67) Dr. Casella's career(06:58) AI & bodyweight(15:22) Sustainable water use(19:10) Group data analysis(27:46) Future opportunities(31:49) Final three questionsThe Dairy Podcast Show is trusted and supported by innovative companies like:* Adisseo* Priority IAC* Evonik- dsm-firmenich- SmaXtec- Natural Biologics- Berg + Schmidt- ICC- Protekta- AHV

Can phenomenology, the study of lived experience, be rigorously formalized in mathematics without losing its essence?In this episode of Mind-Body Solution, I speak with Professor Robert Prentner, a philosopher and interdisciplinary scientist exploring the intersections of consciousness, AI, phenomenology, and mathematics. Prentner develops the Interface Consciousness Lab, where concepts from category theory, topology, and networks are used to model experience, while also testing these ideas through AI systems and artificial phenomenology. His work bridges philosophy and computation, reimagining how agents construct reality.TIMESTAMPS:(00:00) - Introduction: Robert Prentner on interfaces, phenomenology & consciousness (01:00) - From Hoffman to Prentner: extending the Interface Theory of Perception (03:14) - Why neuroscience alone can't solve the mind-body problem (05:42) - Physicalism fails: why consciousness must be taken as fundamental (08:15) - What is an "interface"? Rethinking perception and reality (11:29) - Can phenomenology be mathematized? Category theory & topology explained (14:28) - Guarding against reductionism: mathematics without oversimplification (17:02) - Phenomenal spaces: the geometry and structure of qualia (20:44) - Interfaces as relational: self, world, and embodiment (23:12) - Artificial phenomenology: can machines host new forms of experience? (25:05) - Beyond behaviorism: why the Turing Test is not enough (27:10) - SLP tests: Subjective, Linguistic & Phenomenological benchmarks for AI (29:54) - Ethics of alien consciousness: what if machines develop their own phenomenologies? (32:44) - Freedom, agency, and interfaces: rethinking responsibility (36:20) - Category theory and process philosophy: toward a new metaphysics (39:42) - Computational humanities: simulating historical subjectivities (42:55) - Consciousness beyond neuroscience: integrating humanities and AI (47:15) - Big gaps in consciousness science: what remains unsolved (52:40) - Future directions: mathematized phenomenology and integrative science (59:29) - Advice for young researchers: interdisciplinary challenges & closing reflectionsEPISODE LINKS:- Robert's Website: https://robertprentner.github.io/- Robert's Publications: https://scholar.google.com/citations?hl=en&user=ZYcFVxoAAAAJ- Robert's X: https://x.com/Robert_Prentner- Robert's Work Site: https://ih.shanghaitech.edu.cn/ih_en/2024/1204/c10937a1104318/page.htm- Robert's PhilPeople Profile: https://philpeople.org/profiles/robert-prentner- Donald Hoffman Podcast 1: https://www.youtube.com/watch?v=M5Hz1giUUT8- Donald Hoffman Podcast 2: https://www.youtube.com/watch?v=Toq9YLl49KM- Donald Hoffman Podcast 3: https://www.youtube.com/watch?v=QRa8r5xOaAA- Donald Hoffman Lecture 1: https://www.youtube.com/watch?v=r_UFm8GbSvU- Donald Hoffman Lecture 2: https://www.youtube.com/watch?v=YBmzqNIlbcI- Chris Fields Podcast: https://www.youtube.com/watch?v=jW2C3ZNzijECONNECT:- Website: https://mindbodysolution.org/- Podcast: https://creators.spotify.com/pod/show/mindbodysolution- YouTube: https://youtube.com/mindbodysolution- Twitter: https://twitter.com/drtevinnaidu- Facebook: https://facebook.com/drtevinnaidu - Instagram: https://instagram.com/drtevinnaidu- LinkedIn: https://linkedin.com/in/drtevinnaidu- Tevin Naidu: https://tevinnaidu.com/=============================Disclaimer: The information provided on this channel is for educational purposes only. The content is shared in the spirit of open discourse and does not constitute, nor does it substitute, professional or medical advice. We do not accept any liability for any loss or damage incurred from you acting or not acting as a result of listening/watching any of our contents. You acknowledge that you use the information provided at your own risk. Listeners/viewers are advised to conduct their own research and consult with their own experts in the respective fields.

Hausmeisterei Video zur Episode Text-/Audio-/Videokommentar einreichen HS-Hörer:innen im Slack treffen Aus der Preshow Nukular, Essen auf Planken, Butterfahrten, Wellengang HS Workshops Workshops HS Workshop-Newsletter #hshi / #hsnachtrag Infrarot mit iPhone bzw OnePlus Kuchenmampfer bzgl. FTP-Upload aus der Kamera: „Ich würde das Upload-Verzeichnis in die Nextcloud einbinden“ Rüdiger bzgl. Sync vom FTP-Verzeichnis zum Mac über Raspberry … „#912 – YOLO Schiefspiegler“ weiterlesen

In episode 36, Thibault Schrepel talks to Nancy Scola, longtime technology and politics journalist & reporter.Thibault and Nancy discuss stories that deserve more attention from computational antitrust researchers, how institutions adapt (or fail to adapt) to technological change, and how journalism and computational tools can complement one another. They also consider whether “computational antitrust journalist” could become a job description in the future, and other related topics.Follow the Stanford Computational Antitrust project by subscribing to our newsletter at ⁠https://law.stanford.edu/computationalantitrust

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

Hausmeisterei Video zur Episode Text-/Audio-/Videokommentar einreichen HS-Hörer:innen im Slack treffen Aus der Preshow Aussetzer ausmerzen, Carrier-grade NAT, IPV6, wir können auch einfach nur flüstern 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 … „#911 – Quanteneffizienz“ weiterlesen

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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

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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

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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.

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.

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

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