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IMChip’s founders say interface memristors are more reliable and scalable than filamentary ones. The Groningen spin-out grows the devices at high temperature, then transfers them onto silicon. In this month’s Brains and Machines, Sunny Bains talks with Tamalika Banerjee, chief scientific officer, and Ruben Hamming-Green, head of R&D, about their plan for an edge-AI prototype chip within two years. Giulia D’Angelo of the Czech Technical University in Prague and Ralph Etienne-Cummings of Johns Hopkins University join the discussion.
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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 through this future of silicon is our host, Hezi Saar, Executive Director of Product Marketing at Sy…
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’Angel…
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, challenges in bandwidth, latency, power, and interoperability intensify. In this episode, we unpac…
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 Boulder, Colorado, the new systems will incorporate photonic interconnects and a neuromorphic appr…
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