Talking Machines: Human conversation about machine learning

Talking Machines is your window into the world of machine learning. Your hosts, Katherine Gorman and Ryan Adams, bring you clear conversations with experts in the field, insightful discussions of industry news, and useful answers to your questions.

Machine learning is changing the questions we can ask of the world around us, here we explore how to ask the best questions and what  to do with the answers. 

You can catch new episodes every two weeks on Thursdays through Itunes and SoundCloud. 

The team at Stanford eCorner believes in the powerful combination of evidence and imagination. We share original stories from informed leaders in academia and industry that focus on innovation, startups, culture, and strategy. The goal: empower you to bring bold ideas to life. 

Stanford eCorner is led by the Stanford Technology Ventures Program (STVP), the entrepreneurship center in Stanford University’s School of Engineering.

One person, one interview, one story. Join us as we explore the impact of AI on our world, one amazing person at a time -- from the wildlife biologist tracking endangered rhinos across the savannah here on Earth to astrophysicists analyzing 10 billion-year-old starlight in distant galaxies to the Walmart data scientist grappling with the hundreds of millions of parameters lurking in the retailer’s supply chain. Every two weeks, we’ll bring you another tale, another 25-minute interview, as we build a real-time oral history of AI that’s already garnered nearly 3.4 million listens and been acclaimed as one of the best AI and machine learning podcasts. Listen in and get inspired.

https://blogs.nvidia.com/ai-podcast/

Showcasing the best of Bangladesh's talents to know about themselves and what strategies, tricks and accumulated wisdom have helped them get to where they are.

O'Reilly Media spreads the knowledge of innovators. At O’Reilly, a big part of our business is paying attention to what’s new and interesting in the world of technology. We have a pretty good record at having anticipated some of the big technology developments in recent history. For instance, we launched the first commercial Web site, GNN, in 1993; we organized the meeting at which the term “open source” was first adopted; we were early investors in Blogger, which helped launch the blogging revolution; and more recently, our Web 2.0 conference launched a world-wide meme. We call this predictive sense the “O’Reilly Radar.” And while we’re certainly not always right, we are, at least, good at making interesting guesses.

Our methodology is simple: we draw from the wisdom of the alpha geeks in our midst, paying attention to what’s interesting to them, amplifying these weak signals, and seeing where they fit into the innovation ecology. Add to that the original research conducted by our Research team, and you start to get a good picture of what the technology world is thinking about.

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