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1 Pushing Past Stagnation & Business Plateaus 30:21
BrainChip’s IP for Targeting AI Applications at the Edge
Manage episode 465439210 series 2426529
Dr. Tony Lewis, CTO of BrainChip, and four other key scientists talk to Dr. Sunny Bains of 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 Dr. Giulia D’Angelo from the Czech Technical University in Prague and Prof. Ralph Etienne-Cummings of Johns Hopkins University.
262 episoder
Manage episode 465439210 series 2426529
Dr. Tony Lewis, CTO of BrainChip, and four other key scientists talk to Dr. Sunny Bains of 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 Dr. Giulia D’Angelo from the Czech Technical University in Prague and Prof. Ralph Etienne-Cummings of Johns Hopkins University.
262 episoder
Alle afleveringen
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1 Rippling Signals May Provide Working Memory in the Brain 51:14

1 Making Analog Chip Designs Without Analog Designers 48:21

1 BrainChip’s IP for Targeting AI Applications at the Edge 47:02

1 Robots Need Physical, Not Just Artificial, Intelligence 48:36

1 A Shift Left Strategy Addresses IC Design Challenges Through Design-Stage Verification 27:42

1 Embracing the Efficiency of the Neuromorphic Hairball 47:50

1 Chip Combines Analog and Digital Neurons for Sensor Data 48:44

1 Get Powered by Renesas: Leading Solutions in Automotive and Industrial Applications 18:58

1 Carver Mead Says Neuromorphic Efficiency Can Help AI 1:05:53

1 How AI is Changing Every Aspect of EDA 31:17

1 Leveraging Safety Processor Expertise to Develop RISC-V Based Automotive Implementations 13:02

1 Next-Gen Neuromorphic Researchers Look to Future 52:53

1 Preparing for CRA and Open-Source Silicon Security 33:12

1 SynSense Research Head Talks Combined Sensing, Processing 46:16

1 AI inferencing, Software Ecosystems and Trends in Industrial Automation 28:52

1 Half-Human–Scale SpiNNaker 2 Machine on Cloud in 2024 43:25

1 Bio-Inspired Networks to Interface with Nervous System 45:15

1 Choosing the Right Technologies for Hybrid AI Chips 52:36

1 How 1.6T Ethernet will Enable the World's Fastest Datacenters 28:28

1 Why Sound Processing Takes Time, Not Just Frequency 45:40

1 Helping Spiking Neural Networks Can Learn to Learn 45:18

1 Giving the Humanoid iCub Embodied, Neuromorphic Vision 44:45

1 Tobi Delbrück Talks Caltech, Cameras, and Neural Control 46:33

1 Ferroelectric Memristors and Exotic Materials to Drive AI 42:02

1 Perceiving Touch With Event-Based Neuromorphic Computing 45:02

1 PowerUP Energy: The Future with Renewable Energies 15:24

1 How Memristors Will Help Machines Think at Different Timescales 50:15

1 ARM Inventor Steve Furber on SpiNNaker 1, 2, and Beyond 45:00



1 How to See 'Where' Through Low-Power Event Cameras 46:00

1 AI and Connectivity at the Edge and Endpoint 29:46

1 Seeing Robotics and Machine Vision as Dynamical Systems 48:33

1 Building Brain-Like Systems from Sub-Threshold Electronics 44:35

1 Understanding Real Brains with Robotic Rats, and Vice Versa 39:50

1 MES & Industry 4.0 Summit: Discovering the Future of Smart Manufacturing 27:54

1 On-Chip Learning is Missing Neuromorphic Building Block 44:24

1 André van Schaik Discusses New Neuromorphic Simulator 49:03

1 Electro Soft CEO Karla Trotman, on Reaching the Top 27:12

1 Silicon 100: Startups Worth Watching in 2023 15:40

1 Special Report: Enabling the Factory of 2030 15:39

1 5G mmWave Networks: How Far Have We Reached? 22:36

1 Special Report: What RF Wireless Needs Now 16:45

1 Global Silicon Startups Contest Catalyzes Deep Tech Innovation 21:27
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