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EE Times Current

EE Times Current

EE Times On Air 270 Episodes Jul 22, 2026

EE Times Current is a podcast that delves into the most compelling stories in the electronics industry. It provides deep insights and analysis for design engineers and tech professionals, covering current trends and innovations. The show aims to keep listeners informed on what matters in the world of electronics.

Episodes

Can Great Sky’s Light-Connected AI Enable Bigger Brains?
Can Great Sky’s Light-Connected AI Enable Bigger Brains? Jul 22, 2026 0:58:17 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. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University
Under the Hood of Intelligent Systems
Under the Hood of Intelligent Systems Jun 26, 2026 0:32:28 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 unpack the interface technologies driving this evolution: from automotive SerDes to advanced imaging and n
Will Photonics Loosen the Bottlenecks in Neural Systems?
Will Photonics Loosen the Bottlenecks in Neural Systems? Jun 8, 2026 0:46:46 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’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins
When AI Gets a Body: Physical AI, Humanoids and the Future of Silicon
When AI Gets a Body: Physical AI, Humanoids and the Future of Silicon Jun 5, 2026 0:41:52 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. Hezi brings a front-row view of the semiconductor and AI landscape — and the people building
Zonal Power: 48V Architectures for the Software Defined Vehicle 
Zonal Power: 48V Architectures for the Software Defined Vehicle  May 8, 2026 0:34:32 With advanced safety features, sophisticated sensors, and personalized temperature controls, software-defined vehicles require more power than ever before. Traditional automotive power systems simply can’t keep up with the demand. As the industry moves toward the adoption of 48-volt technology, a zonal architecture will play a critical role in this transition. This podcast covers why auto industry
Fixing AI’s Bottlenecks: Memory, Scale, and Sparsity
Fixing AI’s Bottlenecks: Memory, Scale, and Sparsity Apr 23, 2026 0:58:39 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 Intelligence v2.0 conference at the University of Manchester, held in February 2026. The panelists were Dr. Damien Querlioz, Dr. Julian Büchel, Professor Tamalika Banerjee, Dr. Maxence Ernoult, and Professor Steve Furber, and the sessi
Can the Nvidia Monopoly on AI Chips Be Broken?
Can the Nvidia Monopoly on AI Chips Be Broken? Mar 16, 2026 0:49:00 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 power in all AI systems, the benefit of having dedicated inference chips, and where neuromorphic fits into the market. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etien
Automated Multiphysics for 3D IC Success
Automated Multiphysics for 3D IC Success Mar 6, 2026 0:28:42 Challenges: power generates heat. Heat distorts wires and changes transistor behavior. A change in wires and transistors implies that initial power estimates were wrong.More and more designers are moving to heterogeneous architectures. This comes with new challenges as compared to the 2D domain. Come learn how the Calibre team can help achieve successful 3D IC design goals.
Neuromorphic Spikes Unify Control and Decision Making
Neuromorphic Spikes Unify Control and Decision Making Feb 6, 2026 0:56:54 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 College London. They discuss the inspiration he took from studying biological neurons, why both discrete and continuous behaviors are inherent to how they work, and why building neurons is often easier than simulating them. 
Chips at the Edge: Innovation for AI at Edge and Automotive
Chips at the Edge: Innovation for AI at Edge and Automotive Jan 14, 2026 0:25:47 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 model efficiency and hardware capabilities, edge AI is reshaping design requirements for devices, particularly in balancing the critical factors of power, performance, and cost. Let’s set the stage and delve into how these trends
Green Always-On Sensing with Neuronova’s Sub-μwatt Chip?
Green Always-On Sensing with Neuronova’s Sub-μwatt Chip? Jan 7, 2026 0:47:29 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 London about their inference processor that idles at less than 10 nanowatts and what they hope to do with it. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cum
An Architecture for Building Brains from Top to Bottom?
An Architecture for Building Brains from Top to Bottom? Dec 5, 2025 0:55:10 Professor Chris Eliasmith is a computer scientist and philosopher who’s been modelling cognitive systems for almost three decades. In this episode of Brains and Machines, he talks to Dr. Sunny Bains of University College London about his neural engineering framework and the semantic pointer architecture his team have developed to implement it. Discussion follows with Dr. Giulia D’Angelo from the C

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