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  • Rippling Signals May Provide Working Memory in the Brain
    2025/05/05

    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 分
  • Making Analog Chip Designs Without Analog Designers
    2025/04/06

    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 分
  • BrainChip’s IP for Targeting AI Applications at the Edge
    2025/03/09

    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 分
  • Robots Need Physical, Not Just Artificial, Intelligence
    2025/02/04

    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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    48 分
  • Embracing the Efficiency of the Neuromorphic Hairball
    2025/01/05

    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.

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    47 分
  • Chip Combines Analog and Digital Neurons for Sensor Data
    2024/12/13

    In this episode of Brains and Machines, UCL’s Sunny Bains talks to four key figures at Innatera, a spin out from the University of Delft in the Netherlands: Dr Petrut Bogdan, Neuromorphic Architect; Dr Amir Zjajo, Chief Scientific Officer; Vasile Toma, Vice President for Engineering; and Dr Sumeet Kumar, Chief Executive Officer. They are hoping that their latest spiking neural network chip will become AI of choice for people working on sensor applications. Discussion follows with Dr. Giulia D’Angelo Marie Curie Fellow at The Czech Technical University in Prague, and Professor Ralph Etienne-Cummings of Johns Hopkins University.

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    48 分
  • Carver Mead Says Neuromorphic Efficiency Can Help AI
    2024/11/08

    In this episode of Brains and Machines, UCL’s Sunny Bains talks parallelism, neural net efficiency and risk taking with Caltech’s Prof. Carver Mead. Now an emeritus professor, Mead has been instrumental in the development of chip design, and was one of the first employees of Noyce and Moore, which later became Intel. He’s also one of the founders of the field of neuromorphic engineering. Discussion follows with Dr. Giulia D’Angelo Marie Curie Fellow at The Czech Technical University in Prague, and Professor Ralph Etienne-Cummings of Johns Hopkins University.

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    1 時間 5 分
  • Next-Gen Neuromorphic Researchers Look to Future
    2024/05/31

    In this special episode of the Brains and Machines podcast, Dr. Sunny Bains and Dr. Giulia D’Angelo talk to four early career researchers: Dr. Kenneth Stewart, a computer scientist at the U.S. Naval Research Laboratory in Washington DC; Dr. Laura Kriener, a postdoctoral researcher at The University of Bern in Switzerland; Jens Pedersen, a Ph.D. student at The Royal Institute of Technology (KTH) in Stockholm, Sweden; and Dr. Fabrizio Ottati, an AI/ML computer architect at NXP Semiconductors in Hamburg, Germany. They discuss learning rules for spiking neural networks, primitives for computations on neuromorphic hardware, and the benefits and drawbacks of neuromorphic engineering.

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    52 分