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BrainChip’s IP for Targeting AI Applications at the Edge
Manage episode 470510623 series 3602913
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.
26 episodes
Manage episode 470510623 series 3602913
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.
26 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

1 Tobi Delbrück Talks Caltech, Cameras, and Neural Control 44:22

1 Ferroelectric Memristors and Exotic Materials to Drive AI 39:59

1 Perceiving Touch With Event-Based Neuromorphic Computing 43:00

1 How Memristors Will Help Machines Think at Different Timescales 48:02

1 ARM Inventor Steve Furber on SpiNNaker 1, 2 and Beyond 42:55

1 How to See ‘Where’ Through Low-Power Event Cameras 43:58

1 Seeing Robotics and Machine Vision as Dynamical Systems 46:12

1 Building Brain-Like Systems from Sub-Threshold Electronics 42:14

1 Understanding Real Brains with Robotic Rats, and Vice Versa 37:29

1 On-Chip Learning is Missing Neuromorphic Building Block 41:44

1 André van Schaik Discusses New Neuromorphic Simulator 46:28
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