Understanding Neural Networks

In the final episode of our Recommender Systems season, we explore the growing questions of trust, manipulation, privacy, fairness, sustainability, and user control. From fake reviews and shilling attacks to explainable recommendations and user-selected algorithms, we look at wha ... Show More

In part two of the Data Skeptic Recommender Systems season finale, Kyle asks a deceptively difficult question: what should recommender systems actually optimize for? Drawing on conversations from across the season, the episode explores engagement, filter bubbles, popularity bias, ... Show More

Where did recommender systems come from, and how do we know when they're actually working? In part one of Data Skeptic's three-part Recommender Systems finale, Kyle traces the field from collaborative filtering and the Netflix Prize to matrix factorization and modern approaches, ... Show More

<p>Why is it so hard to define concepts like artificial intelligence and machine learning? What do those even mean? And how does it work? We take a very high level look at AI and machine learning.</p> <p>&nbsp;</p><p>See <a href="https://omnystudio.com/listener">omnystudio.com/li ... Show More

Why is it so hard to define concepts like artificial intelligence and machine learning? What do those even mean? And how does it work? We take a very high level look at AI and machine learning. Learn more about your ad-choices at https://www.iheartpodcastnetwork.comSee omnystudio ... Show More

The latest on the philosophy, science and technology of AI and AGI. ChatGPT, Deep Learning, Neural Networks and Large Language Models (LLMs). What do we know? Where is it going? 

TechStuff listener Nate wanted to know about natural language processing. How can computer scientists teach machines to understand human language and why is it so hard to do? Learn more about your ad-choices at https://www.iheartpodcastnetwork.comSee omnystudio.com/listener for p ... Show More

Can researchers decipher what people are thinking about just by looking at brain scans? With AI, they're getting closer. How far can they go, and what does it mean for privacy? To buy tickets to our upcoming live show in New York, go to http://vox.com/unexplainablelive For more, ... Show More

<p>How are&nbsp;secrets in the brain like Abraham Lincoln&rsquo;s political cabinet? Will AI in the near future hide things from you? And what does any of this have to do with political hierarchies, the formula for Coca-Cola, or deceptive chimpanzees? Join Eagleman&nbsp;to unders ... Show More

How does our brain process language? We speak to an expert who is using technology to turn narrative thoughts into text. Also on the show, what is happening in our brains when we switch languages? And what are the positives and perils of technology and translation?Also on the sho ... Show More

In this episode of Smarter With Sid, host Siddharth Deshmukh talks about the concept of Neural Networks! he explains in simple words how Neural Networks work, and how we can put them to best use! You can follow Siddharth Deshmukh on LinkedIn: https://www.linkedin.com/in/sideshmuk ... Show More

How do your billions of tiny brain cells build consciousness as they chatter away with electrical spikes and chemical signals? And why is your laptop, with its sophisticated algorithms and billions of parts, presumably not conscious? Could other large systems like a city become c ... Show More

A brain's 86 billion neurons are always chattering along with tiny electrical and chemical signals. But how can we get inside the brain to study the fine details? Can we eavesdrop on cells using other cells? What is the future of communication between brains? Join Eagleman with s ... Show More