Do Spikes Need Common Language for Sensing and Learning?

Do Spikes Need Common Language for Sensing and Learning?

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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Jaksot(271)

Designing the AI Factory from the Rack Up

Designing the AI Factory from the Rack Up

For years, AI infrastructure was measured at the scale of the data center. That's changed. In this episode, Neeraj Paliwal explains why the rack has become the indivisible unit of a modern AI system —...

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Beyond Automation: Self-Verifying AI Agents for Semiconductor and PCB Design

Beyond Automation: Self-Verifying AI Agents for Semiconductor and PCB Design

As AI agents grow more capable, the question of trust becomes increasingly critical, especially in complex engineering environments like semiconductor and PCB design. Siemens EDA and NVIDIA are tackli...

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Can Great Sky’s Light-Connected AI Enable Bigger Brains?

Can Great Sky’s Light-Connected AI Enable Bigger Brains?

In this month’s Brains and Machines podcast, Dr. Jeff Shainline talks  about superconducting neural hardware with Dr. Sunny Bains of University College London. Currently in development at Great Sky in...

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Under the Hood of Intelligent Systems

Under the Hood of Intelligent Systems

Some of the most critical semiconductor innovation today sits beneath intelligent systems, where data moves, connects, and scales. As architectures become more distributed, sensor-rich, and AI-driven,...

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Will Photonics Loosen the Bottlenecks in Neural Systems?

Will Photonics Loosen the Bottlenecks in Neural Systems?

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 s...

8 Kesä 46min

When AI Gets a Body: Physical AI, Humanoids and the Future of Silicon

When AI Gets a Body: Physical AI, Humanoids and the Future of Silicon

In this episode of EE Times Current, we’ll dive into Physical AI — from humanoids and embodied agents to the chips, sensors, and systems that let machines see, move, and interact with us. Guiding us t...

5 Kesä 41min

Zonal Power: 48V Architectures for the Software Defined Vehicle 

Zonal Power: 48V Architectures for the Software Defined Vehicle 

With advanced safety features, sophisticated sensors, and personalized temperature controls, software-defined vehicles require more power than ever before. Traditional automotive power systems simply ...

8 Touko 34min

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