Archive for the ‘Podcast’ Category

February 20th, 2016

Robots: Automation and Employment

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 and their study on the future of employment. Beyond the big headlines about automation and jobs, Mike discusses how the study was done, the emergence of new jobs, the need for improved education, and ideas for how we might reshape society to spread wealth that results from advances in technology.

Michael Osborne

osborne_photoMichael Osborne is the Dyson Associate Professor in Machine Learning, Official Fellow of Exeter College and Faculty Member of the Oxford-Man Institute of Quantitative Finance, all at the University of Oxford. He co-leads theMachine Learning Research Group, a sub-group of the Robotics Research Group in the Department of Engineering Science.

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May 15th, 2015

Robots: Supernumerary Limbs - Transcript

In this episode, Audrow Nash interviews Federico Parietti, a PhD candidate at the Massachusetts Institute of Technology, about his research on supernumerary robotic limbs that can be used in manufacturing and for rehabilitative purposes, among other uses.

The videos below demonstrate how supernumerary limbs can be used to assist in tasks. This research was done in the same lab that Federico works in.

Federico Parietti

Federico Parietti is currently a PhD candidate at the Massachusetts Institute of Technology, where his research focuses on the design and control of wearable robots and man-machine interfaces. Previously, Parietti was a Research Associate and Visiting Scholar at Carnegie Mellon University and an International Student at ETH Zurich, in Switzerland.

 

 

 

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May 1st, 2015

Robots: bStem - Transcript

In this episode, Audrow Nash interviews Todd Hylton, Senior Vice President at Brain Corporation, about neuromorphic computers. They discuss the robotics development board bStem, which approximates a neuromorphic computer, as well as the eyeRover: a small balancing robot that demonstrates how the bStem can be used in mobile robots.

Todd Hylton

As Senior Vice President of Brain Corporation, Dr. Todd Hylton leads the development of business and technical strategies within the company. A scientist and co founder of a small semi-conductor equipment manufacturer, Hylton brings 25 years of experience in the semiconductor, optical communications, data storage and defense industries alongside a broad technical entrepreneurial background in research and development, small business, marketing and government programs.

 

 

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March 20th, 2015

Robots: Speech-Based Emotion Recognition

In this episode, Audrow Nash interviews Christina Brester, from the Siberian State Aerospace University, about her research on a method to identify emotional state from speech. This method performs speech analysis with a self-adaptive, multi-objective, genetic algorithm for feature selection and uses a neural network to classify those features. In this interview, we’ll discuss exactly what that means, as well as the implications and future of this research.

 

Christina Brester

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Christina Brester completed her bachelor’s (2012) and master’s degree (2014) at the Siberian State Aerospace University (SibSAU) in Krasnoyarsk, Russia. Her master’s thesis was on Speech-based Emotion Recognition.

Currently, Brester is a PhD student in Computer Science and Engineering at SibSAU. Her research interests include evolutionary computation, neuro-evolutionary algorithms, machine learning, and speech analysis.

 

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March 6th, 2015

Robots: Artificial Neural Networks and Intelligent Information Processing - Transcript

In this episode, Audrow Nash interviews Kurosh Madani from the University of Paris-EST Créteil (UPEC) about neural networks. The talk begins with an overview of neural networks before discussing their possible applications.

Kurosh Madani

KuroshMadaniKurosh Madani received his Ph.D. in Electrical Engineering and Computer Sciences from Paris-Sud University in 1990; and his DHDR Doctor Hab. degree (senior research doctorate degree) from Paris-EST Créteil University (UPEC) in 1995. From 1992 to 2000, he founded and led the Neural Networks Division research group. From 2001 to 2004, he led the Intelligence in Instrumentation and Systems Laboratory of UPEC. In 2005, he co-founded the Images, Signals, and Intelligent Systems Laboratory (LISSI) at UPEC, and headed the Intelligent Machines, and Systems research team of LISSI. Currently, he works as Chair Professor in Electrical Engineering of Senart-FB Institute of Technology at UPEC. His current research interests include complex structures and behaviors modeling; self-organizing, modular, and hybrid neural based information processing systems and their real-world and industrial applications; humanoid and collective robotics; and intelligent fault detection and diagnosis systems.

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