Podcast profile
By EE Times On Air
EE Times Current provides a deep dive into the most compelling stories in the electronics industry.
Latest episode
57 min
Topics
Chip design, fabrication, semiconductor markets, packaging, and manufacturing ecosystems.
Firmware, electronics, microcontrollers, real-time systems, and connected hardware.
Processors, memory, accelerators, systems architecture, and computing hardware design.
Formats
Detailed technical, architectural, or research-oriented examination.
Audience level
Regularly assumes specialist knowledge and discusses implementation, architecture, protocols, code, or research in depth.
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Episodes shown — 10 of 25
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.
As systems become more software-defined, the traditional development model of waiting for hardware before serious software validation begins is no longer sustainable. Software teams need platforms earlier. Hardware teams need realistic workloads sooner.
Artificial intelligence is accelerating semiconductor development, but more compute, more automation, and more engineering data do not automatically create better decisions. As design and manufacturing workflows become increasingly AI-enabled, a new constraint is emerging: trust. In this episode, Dr.
On this month's episode of Brains and Machines, five engineers debate neuromorphic sensing and learning.
For years, AI infrastructure was measured at the scale of the data center. That's changed. And getting there depends on co-designing the silicon, memory, interconnect, and packaging together, with the IP foundation turning concentrated power into usable compute.
As AI agents grow more capable, the question of trust becomes increasingly critical, especially in complex engineering environments like semiconductor and PCB design.
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 approach to intelligence.
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 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.
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 Synopsys.