Integrating Interface Memristors in the Back End of Line
IMChip ’s founders say interface memristors are more reliable and scalable than filamentary ones. The Groningen spin-out grows the devices a...
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20 of 280 episodesIntegrating Interface Memristors in the Back End of Line
IMChip ’s founders say interface memristors are more reliable and scalable than filamentary ones. The Groningen spin-out grows the devices a...
Beyond PPA: How Foundation IP Enables Predictable Execution and Lower TCO for AI-Era SoCs
As AI-driven SoCs move to advanced process nodes, design complexity, development cost, and execution risk are rising sharply. In this episod...
Why Computing With Time Gives Neuromorphic AI an Edge
In this month's Brains and Machines , Dr. Ryad Benosman discusses event-based vision, retinal prosthetics, and neuromorphic startups with Dr...
Where Software Meets Silicon: A Digital Twin Playbook
As systems become more software-defined, the traditional development model of waiting for hardware before serious software validation begins...
Trust at Scale: The Next Challenge for AI-Driven Semiconductor Development
Artificial intelligence is accelerating semiconductor development, but more compute, more automation, and more engineering data do not autom...
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 Hardwa...
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...
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 sem...
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 Universi...
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 archit...
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...
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 tha...
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 th...
Fixing AI’s Bottlenecks: Memory, Scale, and Sparsity
This latest episode of Brains and Machines features a panel discussion on neuromorphic engineering and physical computing held at the Atoms...
Can the Nvidia Monopoly on AI Chips Be Broken?
In the latest episode of Brains and Machines , Sally Ward-Foxton of EE Times talks to Dr. Sunny Bains of the University College London. They...
Automated Multiphysics for 3D IC Success
Challenges: power generates heat. Heat distorts wires and changes transistor behavior. A change in wires and transistors implies that initia...
Neuromorphic Spikes Unify Control and Decision Making
In this latest episode of Brains and Machines , Professor Rodolphe Sepulchre, a control theorist from the University of Cambridge, talks to...
Chips at the Edge: Innovation for AI at Edge and Automotive
Today, we’re diving into the fascinating world of edge AI, exploring its rapid evolution and its transformative impact on industries like au...
Green Always-On Sensing with Neuronova’s Sub-μwatt Chip?
Neuronova is an analog neuromorphic startup based in Milan, Italy. In this episode of Brains and Machines , the CEO and CTO talk to Dr. Sunn...