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Rippling Signals May Provide Working Memory in the Brain
For 50 years Dr. Terry Sejnowski has modelled the brain and used his insights to help inform AI. In this episode of Brains and Machines, he talks to Dr. Sunny Bains of the University College London about how information flows both ways between neuroscience and engineered intelligence, proposes a new way of looking at memory and considers the Hopfield-Hinton Nobel Prize. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.
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50:12
Making Analog Chip Designs Without Analog Designers
Dr. Jennifer Hasler of Georgia Tech is best known for her work with field programmable analog arrays (FPAAs). In this episode of Brains and Machines, she talks about the importance of, and progress in, analog electronics for AI with Dr. Sunny Bains of the University College London. Discussion follows with Dr .Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.
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47:19
BrainChip’s IP for Targeting AI Applications at the Edge
Tony Lewis, CTO for BrainChip, and four other key scientists talk to Sunny Bains of the University College London. They discuss their business strategy, their temporal event-based neural network (TENN), and the next iteration of the Akida chip. Discussion follows with Giulia D’Angelo from the Czech Technical University in Prague and Ralph Etienne-Cummings of Johns Hopkins University.
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46:03
Robots Need Physical, Not Just Artificial, Intelligence
In this episode of Brains and Machines, emeritus Professor Rodney Brooks of Massachusetts Institute of Technology, currently CTO of Robust AI, talks about bottom-up and top-down approaches to robotics and AI with Dr. Sunny Bains of University College London. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.
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47:36
Embracing the Efficiency of the Neuromorphic Hairball
In this new episode of Brains and Machines, Dr. Katie Schuman of the University of Tennessee explains the advantages of evolutionary approaches in neural processing to Dr. Sunny Bains of University College London. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.
Curious to explore the technology advancing Artificial Intelligence beyond the usual headlines? Brains and Machines will introduce you to the people and ideas behind neuromorphic engineering, bio-inspired robotics, and other transformative technologies shaping AI’s future. From spiking neural networks and event-cameras to models of attention and mechanisms for prosthetic control, we investigate how machine cognition is moving forward.Join Dr Sunny Bains, a scientist, journalist, and lecturer at University College London, as she talks to researchers, engineers, and computer scientists from across the field. With co-host, Dr Giulia D’Angelo from the Czech Technical University in Prague, and commentator Prof Ralph Etienne-Cummings from Johns Hopkins University in Baltimore, the post-interview discussion provides context and insight into the featured innovations.Produced in conjunction with Electronic Engineering Times. Check out the EETimes Current podcast for more.Dr D’Angelo gratefully acknowledges the support of the Marie Skłodowska-Curie Postdoctoral Fellowship.
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