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Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, de ...
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Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

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Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular ...
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AI Chat is the podcast where we dive into the world of ChatGPT, cutting-edge AI news and its impact on our daily lives. With in-depth discussions and interviews with leading experts in the field, we'll explore the latest advancements in language models, machine learning, and more. From its practical applications to its ethical considerations, AI Chat will keep you informed and entertained on the exciting developments in the world of AI. Tune in to stay ahead of the curve on the latest techno ...
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Machine learning audio course, teaching the fundamentals of machine learning and artificial intelligence. It covers intuition, models (shallow and deep), math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with highly-curated resources for each episode's details at ocdevel.com. Audio is a great supplement during exercise, commute, chores, etc.
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Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer. Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
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Это подкаст о машинном обучении от неспециалиста для неспециалистов. Буду рассказывать о развитии индустрии, проводить ликбез, объяснять терминологию и профессиональные жаргонизмы, общаться с профессионалами из индустрии Искусственного Интеллекта. Я сам не так давно начал погружаться в эту тему и по мере своего развития буду делиться своим пониманием этой интересной и перспективной области знаний. Почта для обратной связи: [email protected] Сообщество подкаста в ВК: https://vk.com/mlpodcast Т ...
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ClusterOne is the best AI platform for distributed machine learning. It is developed with an aim to help machine learning teams in development of complex AI applications. For more detail, visit: https://clusterone.com/distributed-machine-learning/
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Machine Learning Bytes

Erik Partridge

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Short, simple summaries of machine learning topics, to help you prepare for exams, interviews, reading the latest papers, or just a quick brush up. In less than two minutes, we'll cover the most obscure jargon and complex topics in machine learning. For more details, including small animated presentations, please visit erikpartridge.com. Please do join the conversation on Twitter for corrections, conversations, support and more at #mlbytes
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Embark on a transformative journey with Solomon Christ as he delves into the realms of Artificial Intelligence (AI), Machine Learning (ML), and life automation. In each episode, Solomon shares his personal experiences and insights, striving for mastery in these cutting-edge technologies. He passionately believes that integrating AI and ML into our daily lives can lead to unprecedented human experiences, allowing us to focus on what truly matters while intelligent systems handle the rest. Joi ...
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Machine Learning Cafe

Miklos Zoltan Toth

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This is a machine-learning-focused Podcast, where we interview people in the field of Artificial Intelligence and discuss interesting technical topics of Machine Learning. In the episodes, we focus on business-related use-cases (especially with Deep Learning ) and we also try to bring some technical white papers to the ground, not forgetting on the way that there are always some people behind the technology, so we try to understand their motivation and drive.
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This podcast helps Machine Learning Engineers become the best at what they do. Join host Charlie You every week as he talks to the brightest minds in data science, artificial intelligence, and software engineering to discover how they bring cutting edge research out of the lab and into products that people love. You'll learn the skills, tools, and best practices you can use to build better ML systems and accelerate your career in this flourishing new field.
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VnMetric là nền tảng review đầu tiên tại Việt Nam ứng dụng công nghệ Blockchain và Machine Learning, giúp người dùng chọn được sản phẩm tốt nhất. Website VnMetric là nền tảng review: https://vnmetric.com/ CEO: Lionel Nghia Tên doanh nghiệp: VnMetric Địa chỉ: Tầng 7, 229 Tây Sơn, phường Ngã Tư Sở, quận Đống Đa, Hà Nội, Việt Nam Mã bưu điện: 100000 Số điện thoại: 024 6713 0592 Gmail: [email protected]
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A4N — the Artificial Neural Network News Network — is a lighthearted podcast covering the latest developments in artificial intelligence, machine learning, and data science, in which we both introduce technical aspects of these advances, as well as their social implications. The intended audience is anyone interested in automation, A.I., or the future, with brief sections catering especially to professionals working in the fields of data science or software engineering.
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Welcome to the Machine Commons podcast, where we explore the various and far reaching impacts of machine learning - the software approach better known as artificial intelligence (or, AI). The world has teetered over an invisible edge, where more of our lives are governed by software that is decreasingly coded and increasingly trained - a world where our governing software 'learns'. It is the technology at the cross section of multiple advanced fields. Come hang out with Alex and Lucie, as th ...
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Human-Centered Machine Learning

Halmstad University

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In this course we will explore the challenges presented when designing AI-powered services. In particular, we will take a look at Machine Learning (such as deep learning and generative adversarial networks), and how that can be used in human-centered design of digital services. This course is created for User Experience (UX) professionals, Service Designers, and Product Managers as a way to help take a human-centered approach to AI in their work. The course is also useful for developers and ...
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This podcast series was put together by data science intern Leo Elworth to spread knowledge on these hot topics to the broader community. As the buzz around data science and machine learning continues to grow, more and more people are developing a curiosity for these topics, as well as their applications to the specific field of oil and gas. Interviews with expert data scientists and geologists serve to highlight innovative problems and share entertaining anecdotes. Podcast editing assistanc ...
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Artificial intelligence is a tremendously beneficial technology that's advancing at an incredibly rapid pace. As more and more organisations adopt and implement AI we find that the main challenges are not in the technology itself but in the human side, ie: the approaches, chosen problems and what's called 'the last mile', etc. That's why Data Futurology focuses on the leadership side of AI and how to get the most value from it. Join me, Felipe Flores, a Data Science executive with almost 20 ...
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Learning Machine

Content and Coffee

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This is Learning Machine. A podcast about digital marketing, content, strategy, startups, and business. If you like Mixergy, Entrepreneur on Fire, Tropical MBA, Rocketship.fm, SaaStr, Tim Ferriss show, or Startups for the Rest of Us, you will love Content and Coffee.
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OpenAI has just signed a 5 year, $12 billion deal with CoreWeave. AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchafer My Podcast Course: https://podcaststudio.com/courses/ Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Join my AI Hustle Community: https://www.skool.com/aihustle/about
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In unserer fünften Episode von The Erium Podcast haben wir Sarina Wittchen zu Gast. Als Partnerin bei Intero Consulting und Expertin für digitale Transformation teilt sie ihren spannenden Werdegang von der algebraischen Geometrie zur Beratung großer Finanzdienstleister. Zusammen mit Theo spricht sie über die Optimierung von IT-Kostenmanagement, erf…
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John Palazza from CentML joins us in this sponsored interview to discuss the critical importance of infrastructure optimization in the age of Large Language Models and Generative AI. We explore how enterprises can transition from the innovation phase to production and scale, highlighting the significance of efficient GPU utilization and cost manage…
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Today, we're joined by Chengzu Li, PhD student at the University of Cambridge to discuss his recent paper, “Imagine while Reasoning in Space: Multimodal Visualization-of-Thought.” We explore the motivations behind MVoT, its connection to prior work like TopViewRS, and its relation to cognitive science principles such as dual coding theory. We dig i…
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Welcome back to another episode of Adventures in Machine Learning, where hosts Michael Berk and Ben Wilson delve into the intricate process of implementing model serving solutions. In this episode, they explore a detailed case study focused on enhancing search functionality with a particular emphasis on a hot dog recipe search engine. The discussio…
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Federico Barbero (DeepMind/Oxford) is the lead author of "Transformers Need Glasses!". Have you ever wondered why LLMs struggle with seemingly simple tasks like counting or copying long strings of text? We break down the theoretical reasons behind these failures, revealing architectural bottlenecks and the challenges of maintaining information fide…
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I talk about what Anthropic is going to spend the $3.5B on, who gave it to them, and how we got here! AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchafer My Podcast Course: https://podcaststudio.com/courses/ Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Join my AI Hustle Community: https://www.skool.com/aihustle/about…
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Today, we're joined by Niklas Muennighoff, a PhD student at Stanford University, to discuss his paper, “S1: Simple Test-Time Scaling.” We explore the motivations behind S1, as well as how it compares to OpenAI's O1 and DeepSeek's R1 models. We dig into the different approaches to test-time scaling, including parallel and sequential scaling, as well…
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We speak with Sakana AI, who are building nature-inspired methods that could fundamentally transform how we develop AI systems. The guests include Chris Lu, a researcher who recently completed his DPhil at Oxford University under Prof. Jakob Foerster's supervision, where he focused on meta-learning and multi-agent systems. Chris is the first author…
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In der vierten Episode von Staffel 7 sprechen wir mit Holger Maier, Geschäftsführer der FGS Digital GmbH, über die Digitalisierung in der Steuer- und Rechtsberatung. Er gibt spannende Einblicke in den Einsatz von KI zur Effizienzsteigerung, erläutert Anwendungsfälle und diskutiert die Herausforderungen und Chancen, die die Integration von KI mit si…
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Today, we're joined by Ron Diamant, chief architect for Trainium at Amazon Web Services, to discuss hardware acceleration for generative AI and the design and role of the recently released Trainium2 chip. We explore the architectural differences between Trainium and GPUs, highlighting its systolic array-based compute design, and how it balances per…
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In this episode, Jaeden discusses the launch of Grok 3, the latest AI model from X AI, highlighting its capabilities, training methods, and performance benchmarks compared to competitors like OpenAI's ChatGPT. He shares personal experiences using Grok 3, including its reasoning abilities and practical applications. The conversation also touches on …
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Clement Bonnet discusses his novel approach to the ARC (Abstraction and Reasoning Corpus) challenge. Unlike approaches that rely on fine-tuning LLMs or generating samples at inference time, Clement's method encodes input-output pairs into a latent space, optimizes this representation with a search algorithm, and decodes outputs for new inputs. This…
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Prof. Jakob Foerster, a leading AI researcher at Oxford University and Meta, and Chris Lu, a researcher at OpenAI -- they explain how AI is moving beyond just mimicking human behaviour to creating truly intelligent agents that can learn and solve problems on their own. Foerster champions open-source AI for responsible, decentralised development. He…
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Today, we're joined by Sergey Levine, associate professor at UC Berkeley and co-founder of Physical Intelligence, to discuss π0 (pi-zero), a general-purpose robotic foundation model. We dig into the model architecture, which pairs a vision language model (VLM) with a diffusion-based action expert, and the model training "recipe," emphasizing the ro…
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Daniel Franzen and Jan Disselhoff, the "ARChitects" are the official winners of the ARC Prize 2024. Filmed at Tufa Labs in Zurich - they revealed how they achieved a remarkable 53.5% accuracy by creatively utilising large language models (LLMs) in new ways. Discover their innovative techniques, including depth-first search for token selection, test…
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Sepp Hochreiter, the inventor of LSTM (Long Short-Term Memory) networks – a foundational technology in AI. Sepp discusses his journey, the origins of LSTM, and why he believes his latest work, XLSTM, could be the next big thing in AI, particularly for applications like robotics and industrial simulation. He also shares his controversial perspective…
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In dieser dritten Episode sprechen wir mit Niklas Niehenke, Wirtschaftsprüfer und Steuerberater bei HLB | Dr. Klein, Dr. Mönstermann + Partner. Erfahrt, wie er Technologien wie Robotik Process Automation und KI in der Wirtschaftsprüfung einsetzt, um Prozesse zu optimieren und Datenanalysen zu verbessern. Gemeinsam mit Theo bespricht er praktische B…
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Today we’re joined by Victor Dibia, principal research software engineer at Microsoft Research, to explore the key trends and advancements in AI agents and multi-agent systems shaping 2025 and beyond. In this episode, we discuss the unique abilities that set AI agents apart from traditional software systems–reasoning, acting, communicating, and ada…
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Try a walking desk while studying ML or working on your projects! https://ocdevel.com/walk Show notes: https://ocdevel.com/mlg/mla-22 Tools discussed: Windsurf: https://codeium.com/windsurf Copilot: https://github.com/features/copilot Cursor: https://www.cursor.com/ Cline: https://github.com/cline/cline Roo Code: https://github.com/RooVetGit/Roo-Co…
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Try a walking desk while studying ML or working on your projects! https://ocdevel.com/walk Show notes: https://ocdevel.com/mlg/33 3Blue1Brown videos: https://3blue1brown.com/ Background & Motivation: RNN Limitations: Sequential processing prevents full parallelization—even with attention tweaks—making them inefficient on modern hardware. Breakthrou…
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O episódio que vai te ajudar a entender como os laboratórios criam IAs capazes de raciocinar em 2025 😉 Neste episódio, exploro em detalhes o workflow completo de treinamento dos LLMs estado-da-arte em 2025, desde a preparação dos dados até as técnicas mais recentes de treinamento. Você vai descobrir como os grandes laboratórios usam arquiteturas so…
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Professor Randall Balestriero joins us to discuss neural network geometry, spline theory, and emerging phenomena in deep learning, based on research presented at ICML. Topics include the delayed emergence of adversarial robustness in neural networks ("grokking"), geometric interpretations of neural networks via spline theory, and challenges in reco…
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Today, we're joined by Chris Lott, senior director of engineering at Qualcomm AI Research to discuss accelerating large language model inference. We explore the challenges presented by the LLM encoding and decoding (aka generation) and how these interact with various hardware constraints such as FLOPS, memory footprint and memory bandwidth to limit…
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Welcome one and all to my podcast on Artificial Intelligence and Machine Learning! The goal is to learn AI+ML and Automation and use it to live the most extraordinary lives possible! I truly believe that these new technologies can revolutionize our lives and by looking at how we can automate every area of our lives with these technologies we can ac…
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Blair shares his unique journey into the tech industry, the evolution of technology from hardware to AI, and offers valuable advice for entrepreneurs. He also discusses the innovative work being done at the Buck Institute in the field of longevity and how AI is transforming healthcare and personalized medicine.Follow Blair on LinkedIn The Buck Inst…
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Jaeden Schafer discusses the emergence of DeepSeek, a new AI competitor to ChatGPT, highlighting its capabilities, unique features, and the implications of its censorship practices. The discussion delves into the cost efficiency of DeepSeek compared to other AI models, its impact on the market, and the potential for innovation and competition in th…
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Today, we're joined by Patricia Thaine, co-founder and CEO of Private AI to discuss techniques for ensuring privacy, data minimization, and compliance when using 3rd-party large language models (LLMs) and other AI services. We explore the risks of data leakage from LLMs and embeddings, the complexities of identifying and redacting personal informat…
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In der zweiten Episode von Staffel 7 sind Barbara Jaeger und Günther Wurm von der Business Pool GmbH zu Gast. Barbara Jaeger, Expertin für Mitarbeitergewinnung und Employer Branding, und Günther Wurm, erfahrener Sales- und Managementprofi, teilen ihre wertvollen Einblicke in die Welt des HR. Sie diskutieren mit uns den Einsatz von KI im Recruiting …
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Встречайте специальный выпуск нового сезона со специальным гостем - Николаем Додоновым. Николай профессиональный психолог, член ассоциации когнитивно-поведенческой психологии, автор популярных книг по психологии, привычкам и эффективности управления делами. В подкасте мы поговорим о том как страхи могут управлять нами и мешать в достижении целей. В…
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Nicholas Carlini from Google DeepMind offers his view of AI security, emergent LLM capabilities, and his groundbreaking model-stealing research. He reveals how LLMs can unexpectedly excel at tasks like chess and discusses the security pitfalls of LLM-generated code. SPONSOR MESSAGES: *** CentML offers competitive pricing for GenAI model deployment,…
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In this episode of the AI Chat podcast, Jaeden discusses the groundbreaking AI Stargate project announced by OpenAI, which involves a staggering $500 billion investment aimed at building AI infrastructure in the United States. The conversation delves into the details of the project, the key players involved, and the controversies surrounding the fu…
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Welcome to another insightful episode of Top End Devs, where we delve into the fascinating world of machine learning and data science. In this episode, host Charles Max Wood is joined by special guest Pierpaolo Hipolito, a data scientist at the SAS Institute in the UK. Together, they explore the intriguing paradoxes of data science, discussing how …
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Welcome one and all to my podcast on Artificial Intelligence and Machine Learning! The goal is to learn AI+ML and Automation and use it to live the most extraordinary lives possible! I truly believe that these new technologies can revolutionize our lives and by looking at how we can automate every area of our lives with these technologies we can ac…
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Join Prof. Subbarao Kambhampati and host Tim Scarfe for a deep dive into OpenAI's O1 model and the future of AI reasoning systems. * How O1 likely uses reinforcement learning similar to AlphaGo, with hidden reasoning tokens that users pay for but never see * The evolution from traditional Large Language Models to more sophisticated reasoning system…
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Today, we're joined by Chip Huyen, independent researcher and writer to discuss her new book, “AI Engineering.” We dig into the definition of AI engineering, its key differences from traditional machine learning engineering, the common pitfalls encountered in engineering AI systems, and strategies to overcome them. We also explore how Chip defines …
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Laura Ruis, a PhD student at University College London and researcher at Cohere, explains her groundbreaking research into how large language models (LLMs) perform reasoning tasks, the fundamental mechanisms underlying LLM reasoning capabilities, and whether these models primarily rely on retrieval or develop procedural knowledge. SPONSOR MESSAGES:…
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In this conversation, Jaeden discusses OpenAI's newly released economic blueprint for AI regulation, highlighting the political context and the need for infrastructure to support AI growth. The conversation delves into the bipartisan support for AI initiatives, national security concerns, and the challenges posed by copyright issues in AI training.…
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In this episode, Jaeden discusses the recent partnerships between AI companies like OpenAI and Google with news organizations such as Axios and the Associated Press. He explores how these deals are reshaping the news landscape, providing funding and resources to struggling news outlets while also raising questions about the future of journalism in …
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В гостях Дмитрий Берестнев - Chief Data Scientist/Head of ML музыкального сервиса Zvuk.com. Будем разговаривать про музыкальные рекомендации и немного затронем генерацию музыкальных треков. Как понять, что хочет пользователь, если он и сам не знает чего хочет? Как отличить негативный локальный фидбэк от негативного глобального? Какие признаки можно…
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Jürgen Schmidhuber, the father of generative AI, challenges current AI narratives, revealing that early deep learning work is in his opinion misattributed, where it actually originated in Ukraine and Japan. He discusses his early work on linear transformers and artificial curiosity which preceded modern developments, shares his expansive vision of …
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Welcome one and all to my podcast on Artificial Intelligence and Machine Learning! The goal is to learn AI+ML and use it to live the most extraordinary lives possible! I truly believe that these new technologies can revolutionize our lives and by looking at how we can automate every area of our lives with these technologies we can achieve true heal…
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Professor Yoshua Bengio is a pioneer in deep learning and Turing Award winner. Bengio talks about AI safety, why goal-seeking “agentic” AIs might be dangerous, and his vision for building powerful AI tools without giving them agency. Topics include reward tampering risks, instrumental convergence, global AI governance, and how non-agent AIs could r…
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In der ersten Episode von Staffel 7 sprechen wir mit dem erfahrenen Strategieberater Ingemar Bühler. Seit Januar 2020 Partner bei der EU Focus Group, teilt er seine Erfahrungen aus seiner Zeit als Hauptgeschäftsführer von Plastics Europe Deutschland e.V. sowie seiner Karriere bei Bayer. Erfahrt, wie Ingemar Bühler seine Leidenschaft für internation…
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Today, we're joined by Abhijit Bose, head of enterprise AI and ML platforms at Capital One to discuss the evolution of the company’s approach and insights on Generative AI and platform best practices. In this episode, we dig into the company’s platform-centric approach to AI, and how they’ve been evolving their existing MLOps and data platforms to …
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O que acontece quando décadas de conhecimento humano perdem para algumas horas de computação? Parece frustrante? Este é só o começo da "Lição Amarga" - um padrão fascinante que está mudando como pensamos sobre inteligência artificial. Ouça o episódio para saber mais! 🎯 Aprofunde-se: • "The Bitter Lesson" - Rich Sutton • "Why Greatness Cannot Be Pla…
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What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In this episode, Michael and Ben dive into a new white paper from Facebook AI researchers that reveals a LOT about the future of modeling. They discuss “cows and camels”, the question of predictive vs causal modeling, and how algorithms …
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François Chollet discusses the outcomes of the ARC-AGI (Abstraction and Reasoning Corpus) Prize competition in 2024, where accuracy rose from 33% to 55.5% on a private evaluation set. SPONSOR MESSAGES: *** CentML offers competitive pricing for GenAI model deployment, with flexible options to suit a wide range of models, from small to large-scale de…
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