EE Times Current

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 at high temperature, then transf

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 at high temperature, then transf

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 episode, Synopsys Executive Director

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. Sunny Bains of University Col

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 is no longer sustainable. Sof

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 automatically create better decisio

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 a

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 indivisibl

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. Sie

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

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 distribute

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

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

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 au

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 to Bits: The AlphaBet of Intel

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 discuss the importance of powe

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 initial power estimates were wrong.

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 Dr. Sunny Bains of University C

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 automotive. With advancements in

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. Sunny Bains of University College L