In episode ten of season two, we talk about Computational Learning Theory and Probably Approximately Correct Learning originated by Professor Leslie Valiant of SEAS at Harvard, we take a listener question about generative systems, plus we talk with Aviv Regev, Chair of the Faculty and Director of the Klarman Cell Observatory and the Cell Circuits Program at the Broad Institute.
In episode nine of season two, we talk about sparse coding, take a listener question about the next big demonstration for AI after AlphaGo. Plus we talk with Clement Farabet about MADBITS and the work he’s doing at Twitter Cortex.
Recently Professor David MacKay passed away. We’ll spend this episode talking about his extensive body of work and its impacts. We’ll also talk with Philipp Hennig, a research group leader at the Max Planck Institute for Intelligent Systems, who trained in Professor MacKay’s group (with Ryan).
In this episode, Audrow Nash interviews Silas Adekunle, Co-founder and CEO of Reach Robotics. They speak about Reach Robotics’ first product, Mecha Monsters: legged, gaming robots that are controlled by a smartphone.
Samira Hayat was one of the few women in Pakistan studying electrical engineering. In this interview, she talks about her research exploring networks of drones. Rescue missions performed by drone networks are highly involved, covering areas such as detection and communication. She is particularly interested in determining optimal processes from a mathematical perspective.
Episode seven of season two is a little different than our usual episodes; Ryan and Katherine returned from a conference where they got to talk with Neil Lawrence from University of Sheffield about some of the larger issues surrounding machine learning and society. They discuss anthropomorphic intelligence, data ownership, and the ability to empathize. The entire episode is given over to this conversation in hopes that it will spur more discussion of these important issues as the field continues to grow.
In this episode, Ron Vanderkley speaks with Mark Pivoc from FastBrick about Hadrian the bricklaying robot. Fastbrick is an Australian robotics firm aiming to disrupt the local bricklaying market with a machine it says will be able to build a four-bedroom house in two days, without any human interaction.
In episode six of season two, we talk about how to build software for machine learning (and what the roadblocks are), we take a listener question about how to start exploring a new dataset, plus, we talk with Rob Tibshirani of Stanford University.
By: Abdul Montaqim
Professor Knoll, one of the most influential roboticists in Europe, is currently the co-ordinator of the European Clearing House for Open Robotics Development (Echord), and one of the key scientists involved in the $1.5 billion-dollar Human Brain Project. In this interview he gives his views of the state of robotics today.
In this episode, Andrew Vaziri speaks with John Lymer, Chief Architect of Robotics and Automation at SSL. They highlight key programs in space robotics from the 1980s through to SSL’s current program to robotically assemble satellites in space.
In episode five of season two, Ryan walks us through variational inference. We put some listener questions about Go and how to play it to Andy Okun, president of the American Go Association (who is in Seoul, South Korea, watching the Lee Sedol/AlphaGo games). Plus, we hear from Suchi Saria of Johns Hopkins about applying machine learning to understanding health care data.