Brains and Machines

著者: Dr Sunny Bains
  • サマリー

  • Curious to explore the technology advancing Artificial Intelligence beyond the usual headlines? Brains and Machines will introduce you to the people and ideas behind neuromorphic engineering, bio-inspired robotics, and other transformative technologies shaping AI’s future. From spiking neural networks and event-cameras to models of attention and mechanisms for prosthetic control, we investigate how machine cognition is moving forward.

    Join Dr Sunny Bains, a scientist, journalist, and lecturer at University College London, as she talks to researchers, engineers, and computer scientists from across the field. With co-host, Dr Giulia D’Angelo from the Czech Technical University in Prague, and commentator Prof Ralph Etienne-Cummings from Johns Hopkins University in Baltimore, the post-interview discussion provides context and insight into the featured innovations.

    Produced in conjunction with Electronic Engineering Times. Check out the EETimes Current podcast for more.

    Dr D’Angelo gratefully acknowledges the support of the Marie Skłodowska-Curie Postdoctoral Fellowship.

    All rights reserved.
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あらすじ・解説

Curious to explore the technology advancing Artificial Intelligence beyond the usual headlines? Brains and Machines will introduce you to the people and ideas behind neuromorphic engineering, bio-inspired robotics, and other transformative technologies shaping AI’s future. From spiking neural networks and event-cameras to models of attention and mechanisms for prosthetic control, we investigate how machine cognition is moving forward.

Join Dr Sunny Bains, a scientist, journalist, and lecturer at University College London, as she talks to researchers, engineers, and computer scientists from across the field. With co-host, Dr Giulia D’Angelo from the Czech Technical University in Prague, and commentator Prof Ralph Etienne-Cummings from Johns Hopkins University in Baltimore, the post-interview discussion provides context and insight into the featured innovations.

Produced in conjunction with Electronic Engineering Times. Check out the EETimes Current podcast for more.

Dr D’Angelo gratefully acknowledges the support of the Marie Skłodowska-Curie Postdoctoral Fellowship.

All rights reserved.
エピソード
  • 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

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