Showing results for "Machine Learning" in Science

A "fascinating book" that will revolutionize our understanding of the brain and the future of AI (Financial Times) For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered...

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

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, deep learning, natural language processing, neural networks, analytics, computer science, data science and...

The definitive exploration of one of the most daring and consequential theories of our time, completely revised and updated to reflect the rapid advances in artificial intelligence and virtual reality Are we living in a simulation? MIT computer scientist Rizwan Virk draws from research and...

The Machine Learning Debrief is your trusted companion for navigating the ever-evolving landscape of AI and machine learning research. We understand that keeping up with the constant influx of new papers can be overwhelming, and deciphering complex methodologies often feels like a daunting task. Each week, we tackle these challenges head-on by selecting the most impactful recent publications, breaking down intricate concepts into digestible insights, and discussing their practical implications.Whether you're a researcher seeking clarity, a practitioner aiming to stay current, or an enthusiast ...

🎙️ Pal Talk – Machine Learning Welcome to Pal Talk – Machine Learning, your weekly podcast where complex algorithms meet real-world impact, simplified for learners, researchers, and tech enthusiasts alike. Hosted by Dr. Chinmoy Pal, this show dives deep into the world of machine learning, AI, and data science, one topic at a time. From foundational concepts like supervised and unsupervised learning, neural networks, decision trees, and clustering—to trending applications in healthcare, finance, education, and even space—this podcast helps you understand not just how machine ...

NEW YORK TIMES BESTSELLER Celebrated futurist Ray Kurzweil, hailed by Bill Gates as “the best person I know at predicting the future of artificial intelligence,” presents an “elaborate, smart, and persuasive” (The Boston Globe) view of the future course of human development...

NEW YORK TIMES BESTSELLER The bold futurist and renowned author of The Singularity Is Near explores the limitless potential of reverse-engineering the human brain. “This book is a Rosetta Stone for the mystery of human thought.”—Martine Rothblatt, chairman and CEO, United Therapeutics...

Dive into the world of AI and machine learning with expert insights, beginner tips, and cutting-edge research. Perfect for enthusiasts and professionals alike.

In this podcast series, we learn about applications of Machine Learning, Artificial Intelligence, emerging technology, Journey to Cloud and more directly from Founders, CEO's, CTO's, Directors, Distinguish Engineers, Principal Technology Leaders and Subject Matter Experts. Each podcast is your digital digest to learn about the most relevant applications today in the field of Information Technology, using Open Source Platforms, Machine Learning and Artificial Intelligence. Moreover, meet with World Leaders and listen to what they say about security, sustainability and modernization.

Join us for our exciting new podcast series "Learning Machines," where we host scientists, business, and policymakers from pioneering countries in science and technology. We'll delve into the latest developments in artificial intelligence and machine learning, exploring their impact on society and the economy. Discover cutting-edge ideas shaping the future of technology as we discuss the potential of intelligent systems and what machines' "learning" process means for humanity. Get ready for insightful conversations at the intersection of science, business, and politics, as we push the ...

From the street, through Beijing’s heavy smog, it can sometimes be hard to make out IBM’s Chinese headquarters: a towering office building with a distinctive undulating architectural flourish and a large company logo at the top. But just a short distance away, on the northeast outskirts of the capital, IBM computer scientists are using artificial intelligence to develop what they think will be a way to manage China’s notorious and chronic pollution problem more successfully.

Der Podcast für Young Professionals, die wissen möchten was hinter KI, Machine Learning und Data Science steckt und wie damit gearbeitet wird. The Erium Podcast räumt mit Mythen auf, gibt Einblicke in die Welt und Algorithmen der Data Scientists und zeigt euch die Power von Machine Learning. Master the Complexity!

Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life. For example, artificially intelligent systems recognize our voices, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions which will be addressed in the podcast series Learning Machines 101.

"Royal Decode – Machine Learning" एक ज्ञानवर्धक पॉडकास्ट है, जहाँ Royal Research की विशेषज्ञ टीम डेटा साइंस और मशीन लर्निंग की जटिलताओं को सरल भाषा में समझाती है। रिसर्च एनालिसिस, AI मॉडल और व्यावहारिक उदाहरणों के साथ जानें कैसे मशीन लर्निंग बदल रहा है आधुनिक ...

Assignment On Click प्रस्तुत करता है “One Click Learning - Machine learning” – जहाँ मशीन लर्निंग को सरल भाषा में समझाया जाता है। इस शो में आपको मिलेंगे असाइनमेंट टिप्स, रियल-लाइफ उदाहरण, और लेटेस्ट AI ट्रेंड्स। स्टूडेंट्स, प्रोफेशनल्स और ML सीखने वालों के लिए यह शो है ...

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.

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.

How does Einstein’s description of space and time compare with Doctor Who? Can James Bond really escape from an armor-plated railroad car by cutting through the floor with a laser concealed in a wristwatch? What would it take to create a fully intelligent android, such as Star Trek’s Commander Data? Exploring Science Through Science Fiction addresses these and other intriguing questions, using science fiction as a springboard for discussing fundamental science concepts and cutting-edge science research.