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.
By: Chris Bogdon
Amir Degani is an assistant professor at Technion Institute of Technology and Avi Kahnani is the CEO and Co-Founder of Israeli robotics start-up Fresh Fruits Robotics. Together, they are developing an apple harvesting robot that can autonomously navigate apple orchards and accurately pick fruit from the trees. I got the chance to sit down with Amir and Avi to learn more about the project. In our talk, they discussed the robot’s design, the challenges of apple picking, tree training and their experience demoing the robot for Microsoft’s CEO at the Think Next 2016 exhibition.
In episode four of season two, we talk about some of the major issues in AI safety, (and how they’re not really that different from the questions we ask whenever we create a new tool.) We take a listener question about time series, and we talk with Nick Patterson of the Broad Institute about everything from ancient DNA to Alan Turing.
In this episode Andrew Vaziri speaks with Mike Osborne, Associate Professor in Machine Learning at the University of Oxford. They discuss how advancements in artificial intelligence may change the workforce, the economy and society based on findings from their study on the future of employment.
In this episode, Andrew Vaziri speaks with Curtis Carson, Head of Research and Technology in Industrial Strategy and Systems at Airbus. They speak about the Airbus Shopfloor Challenge to be held at ICRA 2016, and discuss the need for a new generation of industrial robots for aircraft manufacturing.
Pulitzer-Prize-winning John Markoff has been covering the technology beat at the New York Times for almost three decades, and recently published Machines of Loving Grace – a book that chronicles the evolution of robotics and AI. In this interview we turn the lens around and ask Markoff about what motivates his interest to report on robotics, and how he sees trends in robotics today being informed by people and events from the past.