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Rippling Signals May Provide Working Memory in the Brain
Manage episode 480680069 series 3602913
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.
26 episodes
Manage episode 480680069 series 3602913
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.
26 episodes
All episodes
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1 Rippling Signals May Provide Working Memory in the Brain 50:12

1 Making Analog Chip Designs Without Analog Designers 47:19

1 BrainChip’s IP for Targeting AI Applications at the Edge 46:03

1 Robots Need Physical, Not Just Artificial, Intelligence 47:36

1 Embracing the Efficiency of the Neuromorphic Hairball 46:47

1 Chip Combines Analog and Digital Neurons for Sensor Data 47:36

1 Carver Mead Says Neuromorphic Efficiency Can Help AI 1:04:49

1 Next-Gen Neuromorphic Researchers Look to Future 51:43

1 SynSense Research Head Talks Combined Sensing, Processing 45:17

1 Half-Human–Scale SpiNNaker 2 Machine on Cloud in 2024 42:20

1 Bio-Inspired Networks to Interface With Nervous System 44:10

1 Choosing the Right Technologies for Hybrid AI Chips 51:30

1 Why Sound Processing Takes Time, Not Just Frequency 44:35

1 Algorithms Help Spiking Neural Networks Learn to Learn 44:12

1 Giving the Humanoid iCub Embodied, Neuromorphic Vision 44:48
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