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  • Why Computing with Time Gives Neuromorphic AI an Edge
    2026/11/04

    In this month’s Brains and Machines, Dr. Ryad Benosman discusses event-based vision, retinal prosthetics, and neuromorphic startups. A co-founder of Prophesee, he explains why he believes AI’s future must come from neuromorphic engineering. 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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    56 分
  • Do Spikes Need Common Language for Sensing and Learning?
    2026/09/29

    On this month’s episode of Brains and Machines, five engineers debate neuromorphic sensing and learning. Recorded at the Neuromorphic Hardware and Algorithms conference at the University of Sussex, the panel explores whether events and spikes are the right framework for integrating sensor modalities, motor control, and learning across systems. They also examine commercial directions and revisit the perennial question: what is neuromorphic engineering?

    The panelists are:

    • Dr. Chiara Bartolozzi (Italian Institute of Technology)
    • Dr. Federico Corradi (Eindhoven University of Technology)
    • Dr. James Knight (University of Sussex)
    • Dr. Laura Kriener (Institute of Neuroinformatics, Zurich)
    • Dr. Sebastian Siegel (Peter Grünberg Institute, Jülich)

    The session is chaired by Dr. Sunny Bains (University College London), followed by a discussion with Dr. Giulia D’Angelo (Czech Technical University in Prague) and Professor Ralph Etienne-Cummings (Johns Hopkins University).

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    1 時間
  • Can Great Sky’s Light-Connected AI Enable Bigger Brains?
    2026/08/24

    In this month’s Brains and Machines podcast, Dr. Jeff Shainline talks about superconducting neural hardware. Currently in development at Great Sky in Boulder, Colorado, the new systems will incorporate photonic interconnects and a neuromorphic approach to intelligence. 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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    57 分
  • Will Photonics Loosen the Bottlenecks in Neural Systems?
    2026/08/24

    In this latest episode of Brains and Machines, Dr. Patty Stabile of the Eindhoven University of Technology chats with us about her optical neural networks with ultra-low-latency processing, and the semiconductor optical amplifiers that make them possible. 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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    46 分
  • Fixing AI’s Bottlenecks: Memory, Scale, and Sparsity
    2026/06/12

    This latest episode of Brains and Machines features a panel discussion on neuromorphic engineering and physical computing held at the Atoms to Bits: The AlphaBet of Intelligence v2.0 conference at the University of Manchester, held in February 2026. The panelists were Dr. Damien Querlioz, Dr. Julian Büchel, Professor Tamalika Banerjee, Dr. Maxence Ernoult, and Professor Steve Furber, and the session was chaired by 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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    58 分
  • Can the Nvidia Monopoly on AI Chips Be Broken?
    2026/04/27

    In this latest episode of Brains and Machines, EE Times Senior Reporter Sally Ward-Foxton talks to Dr. Sunny Bains of the University College London. They discuss the importance of power in all AI systems, the benefit of having dedicated inference chips, and where neuromorphic fits into the market. 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
  • Neuromorphic Spikes Unify Control and Decision Making
    2026/04/27

    In this latest episode of Brains and Machines, Professor Rodolphe Sepulchre, a control theorist from the University of Cambridge, talks to Dr. Sunny Bains of the University College London. They discuss the inspiration he took from studying biological neurons, why both discrete and continuous behaviors are inherent to how they work, and why building neurons is often easier than simulating them. 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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    56 分
  • Green Always-On Sensing With Neuronova’s Sub-μwatt Chip?
    2026/02/26

    Neuronova is an analog neuromorphic startup based in Milan, Italy. In this episode of Brains and Machines, the CEO and CTO talk to Dr. Sunny Bains of University College London about their inference processor that idles at less than 10 nanowatts and what they hope to do with it. 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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    46 分