Artificial Neural Networks and Intelligent Information Processing, with Kurosh Madani
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
Kurosh 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.
Links:
- Download mp3 (17.7 MB)
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- Link to Madani’s Workshop
If you liked this podcast, you may also be interested in:
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- What would be the energy cost of artificially evolving human-equivalent AI?
- Inside DeepMind
- Artificial General Intelligence that plays Atari video games: How did DeepMind do it?
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Robohub Podcast is a non-profit robotics podcast where we interview experts in robotics, including researchers, entrepreneurs, policy makers, and venture capitalists. Our interviewers are researchers, entrepreneurs, and engineers involved in robotics. Our interviews are technical and, often, get into the details of what we are discussing, but we make an effort to have our interviews understandable to a general audience.
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