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, th...
25 Aug 1h
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 —...
21 Aug 18min
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...
7 Aug 23min
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...
22 Jul 58min
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,...
27 Jun 32min
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 Jun 46min
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 Jun 41min
