EE Times Current
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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.
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Can Great Sky’s Light-Connected AI Enable Bigger Brains? 22.07.2026 58minIn 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 in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University. -
Under the Hood of Intelligent Systems 26.06.2026 32minSome 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 next-gen connectivity. -
Will Photonics Loosen the Bottlenecks in Neural Systems? 08.06.2026 46minIn 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 University. -
When AI Gets a Body: Physical AI, Humanoids and the Future of Silicon 05.06.2026 41minIn 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 it. -
Zonal Power: 48V Architectures for the Software Defined Vehicle 08.05.2026 34minWith 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 is undergoing a big E/E transition and the zonal architecture fundamentals, covering 48V power architectures, zonal E/E architecture, software-defined vehicles (SDV), and how integrated solutions such as 48V e‑fuses enable this transition. -
Fixing AI’s Bottlenecks: Memory, Scale, and Sparsity 23.04.2026 58minThis 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 session was chaired by Dr. Sunny Bains of University College London. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University. -
Can the Nvidia Monopoly on AI Chips Be Broken? 16.03.2026 49minIn 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 Etienne-Cummings of Johns Hopkins University. -
Automated Multiphysics for 3D IC Success 06.03.2026 28minChallenges: 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 06.02.2026 56minIn 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 14.01.2026 25minToday, 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 are driving innovation at the edge. -
Green Always-On Sensing with Neuronova’s Sub-μwatt Chip? 07.01.2026 47minNeuronova 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-Cummings of Johns Hopkins University. -
An Architecture for Building Brains from Top to Bottom? 05.12.2025 55minProfessor 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 Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University. -
Tracking & Locationing Technologies from Renesas 12.11.2025 21minDive into the evolving world of asset tracking and locationing with Renesas!Explore what ‘locationing’ really means in the evolving space of asset management, how to leverage the various cutting-edge Renesas locationing technologies to gain visibility and control over your assets, and how Renesas as a field-proven leader within this technology space can empower you and your customers to move from simple tracking to intelligent, real-time locationing. -
The State of Multi-Die: Insights and Customer Requirements 07.11.2025 20minIn this episode, we look at the changing landscape of multi-die design, highlighting how the industry is addressing current challenges and opportunities. We share customer perspectives on essential requirements, including design considerations, scalability, performance and integration, while outlining the current state of multi-die design and the elements shaping future developments. Discover how companies are responding to these demands and gain insights into the future of multi-die design. -
Artificial Hearing: From Ear Drums to Tuning Forks 06.11.2025 51minDr. Claudia Lenk’s group creates brain-inspired hearing systems with micromechanical hair cells. In this episode of Brains and Machines, she talks to Dr. Sunny Bains of University College London about the advantages of the approach and how it could be applied to speech processing in AI. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University. -
Calibre Directions in Artificial Intelligence 22.10.2025 21minIn this episode, we’ll explore Siemens EDA’s innovative approach to AI and dive into Calibre-specific topics. We’ll discuss when to use Calibre, when it might not be the best fit, and how to leverage it to maximize productivity and designer effectiveness—all without compromising on quality.AI is everywhere these days, from space exploration to dating apps, and Siemens has been a pioneer in this space, investing in AI long before it became a trend. So, let’s dive in and explore how Siemens EDA is shaping the future of design with AI. -
A Theoretical Framework for Neuromorphic Technology? 03.10.2025 55minBrad Aimone from Sandia National Labs works with the world’s biggest neuromorphic platforms. In this episode of Brains and Machines, he talks to Sunny Bains of University College London about how this allows him to think deeply about what they’re good for. Discussion follows with Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University. -
Neurons Close the Loop from Insect Perception to Action 09.09.2025Professor Barbara Webb from the University of Edinburgh in Scotland uses physical robots to validate neural mechanisms in crickets, ants, and bees. In this episode of Brains and Machines, she talks to Dr. Sunny Bains of University College London about her work. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University. -
Accelerating Complex Analog IC Design: The Power of Early Reliability Verification 28.07.2025 18minToday we’re talking about something that’s top-of-mind for a lot of you: closing the reliability gaps in increasingly complex analog and mixed-signal IC designs—and doing it earlier, faster, and more systematically.As designs become more heterogeneous and integration of IP blocks more intricate, traditional simulation and ERC tools often aren’t enough. They’re reactive by nature, catching issues too late in the flow—when rework is costly, and design intent is harder to trace.That’s why “shift-left” verification has become more than just a buzzword. It’s a strategic necessity. And today’s conversation is all about one of the tools helping to make that shift actionable: Siemens’ Insight Analyzer. -
Can Neuromorphic Be Low-Power, Reconfigurable, and Scalable? 14.07.2025 50minProfessor Gert Cauwenberghs has been working toward building brain-scale systems for decades. At the University of California San Diego, he’s now one of the leaders of the Neuromorphic Commons hub, also known as Thor, which will give the wider community access to neuromorphic hardware and simulators. In this episode of Brains and Machines, he talks to Dr. Sunny Bains of University College London about his approach to making systems that use minimal energy, are highly interconnected at all levels, and are surprisingly flexible. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.
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