EE Times Current

Power sequencing may not be the most visible part of a system design, but it plays a critical role in ensuring complex electronic systems start up reliably, recover from faults gracefully, and shut down safely. In this episode of the EE Times Podcast, host Erik Singer sits down with Dima Mymrikov, Senior Director of Product Marketing at Renesas Electronics, to discuss why power sequencing remains a fundamental challenge for embedded developers and how evolving design approaches are helping engin

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 Hop

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 Hop

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 of Product Management Ravi Todi explains why competitive power, performance, and area (PPA) are no longer sufficient on their own. Success in the AI era also depends on predictable execution and disciplined management of total cost of ownership (TCO) across the full SoC lifecycle. The discussion highlights how a holistic, sili

In this podcast, EE Times' Sally Ward-Foxton talks to Majestic Labs’ Sha Rabii about why AI's shift toward inference, long context, and agentic workloads could require a fundamentally different compute-memory architecture.

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 College London. A co-founder of Prophesee, he explains why he believes AI's future must come from neuromorphic engineering. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.