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EE Times Current

by EE Times On Air

EE Times Current provides a deep dive into the most compelling stories in the electronics industry. Tune in to keep yourself current on what matters to design engineers and other tech industry professionals

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Episodes

  1. 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 of Product Management Ravi Todi explains why competitive power, performance, and area (PPA) are no longer sufficient on their...

  2. 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 College London. A co-founder of Prophesee, he explains why he believes AI's future must come from neuromorphic engineering....

  3. 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. Software teams need platforms earlier. Hardware teams need realistic workloads sooner. Verification teams need better ways to…

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  4. 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 decisions. As design and manufacturing workflows become increasingly AI-enabled, a new constraint is emerging: trust. In this episode,...

  5. 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 at the University of Sussex, the panel explores whether events and spikes are the right framework for integrating sensor...

  6. 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 indivisible unit of a modern AI system — designed as one system rather than a collection of servers — and why performance is no longer...

  7. 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. Siemens EDA and NVIDIA are tackling that challenge head-on, combining deep EDA domain expertise with cutting-edge AI…

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  8. 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 in development at Great Sky in Boulder, Colorado, the new systems will incorporate photonic interconnects and a neuromorphic...

  9. 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 distributed, sensor-rich, and AI-driven, challenges in bandwidth, latency, power, and interoperability intensify. In this episode, we...

  10. 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-latency processing, and the semiconductor optical amplifiers that make them possible. Discussion follows with Dr. Giulia…

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  11. 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 interact with us. Guiding us through this future of silicon is our host, Hezi Saar, Executive Director of Product Marketing at...

  12. 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 automotive power systems simply can’t keep up with the demand. As the industry moves toward the adoption of 48-volt technology, a...

  13. 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 Intelligence v2.0 conference at the University of Manchester, held in February 2026. The panelists were Dr. Damien Querlioz, Dr....

  14. 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 power in all AI systems, the benefit of having dedicated inference chips, and where neuromorphic fits into the market. Discussion...

  15. 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. More and more designers are moving to heterogeneous architectures. This comes with new challenges as compared to the 2D domain....

  16. 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 College London. They discuss the inspiration he took from studying biological neurons, why both discrete and continuous…

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  17. 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 model efficiency and hardware capabilities, edge AI is reshaping design requirements for devices, particularly in balancing…

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  18. 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 London about their inference processor that idles at less than 10 nanowatts and what they hope to do with it. Discussion follows...

  19. An Architecture for Building Brains from Top to Bottom?

    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...

  20. Tracking & Locationing Technologies from Renesas

    Dive 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…

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  21. The State of Multi-Die: Insights and Customer Requirements

    In 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...

  22. Artificial Hearing: From Ear Drums to Tuning Forks

    Dr. 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.…

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  23. Calibre Directions in Artificial Intelligence

    In 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...

  24. A Theoretical Framework for Neuromorphic Technology?

    Brad 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...

  25. Neurons Close the Loop from Insect Perception to Action

    Professor 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...

  26. Accelerating Complex Analog IC Design: The Power of Early Reliability Verification

    Today 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,...

  27. Can Neuromorphic Be Low-Power, Reconfigurable, and Scalable?

    Professor 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...

  28. Event-Driven E-Skins Protect Both Robots and Humans

    Professor Gordon Cheng builds humanoid robots that can feel their environment using artificial skin. In this episode of Brains and Machines, he talks to Dr. Sunny Bains of University College London about how the skin was designed, how it improves safety and why neuromorphic engineering will be...

  29. Event-Driven E-Skins Protect Both Robots and Humans

    Professor Gordon Cheng builds humanoid robots that can feel their environment using artificial skin. In this episode of Brains and Machines, he talks to Dr. Sunny Bains of University College London about how the skin was designed, how it improves safety, and why neuromorphic engineering will be...

  30. Digital Prototypes May Enable Analog Neuromorphic Chips

    Dr. Charlotte Frenkel from the Technical University of Delft set records with a low-power neuromorphic chip she designed as part of her Ph.D. In this episode of Brains and Machines, she talks to Dr. Sunny Bains of University College London about what she has learned about building simplicity into...

  31. The State of Multi-Die Testing: Essential Insights for Designers

    The semiconductor industry is undergoing a shift with the rapid adoption of multi-die design, driven by the promise of improved power, performance, and area (PPA). But with innovation comes complexity, and one of the biggest challenges is ensuring silicon reliability and health through effective...

  32. IBM Used Mathematics as Compass on Journey to NorthPole

    Dharmendra Modha’s TrueNorth chip added the word neuromorphic to the technorati lexicon back in 2014. In this episode of Brains and Machines, he talks to Sunny Bains of University College London about how that project led to his work on NorthPole and the axiomatic approach he took to design.

  33. Rippling Signals May Provide Working Memory in the Brain

    In this episode of Brains and Machines, Dr. Terry Sejnowski talks to Dr. Sunny Bains of the University College London about how information flows both ways between neuroscience and engineered intelligence, proposes a new way of looking at memory and considers the Hopfield-Hinton Nobel Prize.

  34. Making Analog Chip Designs Without Analog Designers

    Dr. Jennifer Hasler of Georgia Tech is best known for her work with field programmable analog arrays (FPAAs). In this episode of Brains and Machines, she talks about the importance of, and progress in, analog electronics for AI with Dr. Sunny Bains of the University College London. Discussion...

  35. BrainChip’s IP for Targeting AI Applications at the Edge

    Dr. Tony Lewis, CTO of BrainChip, and four other key scientists talk to Dr. Sunny Bains of University College London. They discuss their business strategy, their temporal event-based neural network (TENN) and the next iteration of the Akida chip. Discussion follows with Dr. Giulia D’Angelo from…

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  36. Robots Need Physical, Not Just Artificial, Intelligence

    In this episode of Brains and Machines, emeritus Prof. Rodney Brooks of Massachusetts Institute of Technology, currently CTO of Robust AI, talks about bottom-up and top-down approaches to robotics and AI with Dr. Sunny Bains of University College London. Discussion follows with Dr. Giulia…

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  37. A Shift Left Strategy Addresses IC Design Challenges Through Design-Stage Verification

    Many IC design teams struggle with tight deadlines and limited resources. The industry is constantly searching for new ways to improve efficiency without compromising design quality. While they might find tools that run incrementally faster, the real gains come from adjustments to the design flow…

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  38. Embracing the Efficiency of the Neuromorphic Hairball

    Dr. Katie Schuman of the University of Tennessee explains the advantages of evolutionary approaches in neural processing to 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…

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  39. Chip Combines Analog and Digital Neurons for Sensor Data

    Dr. Sunny Bains talks to four key figures at Innatera, a spin out from the University of Delft in the Netherlands. They are hoping that their latest spiking neural network chip will become AI of choice for people working on sensor applications. Discussion follows with Dr. Giulia D’Angelo from the...

  40. Get Powered by Renesas: Leading Solutions in Automotive and Industrial Applications

    Renesas, known for its industry-leading MCU and MPU portfolio, has a comprehensive power management portfolio addressing existing and emerging applications. This compelling interview covers how Renesas is addressing power challenges in the automotive and industrial sectors, including solutions…

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  41. Carver Mead Says Neuromorphic Efficiency Can Help AI

    UCL’s Dr. Sunny Bains talks parallelism, neural net efficiency and risk taking with Caltech’s Prof. Carver Mead. Now an emeritus professor, Mead has been instrumental in the development of chip design, and was one of the first employees of Noyce and Moore, which later became Intel. He’s also one…

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  42. How AI is Changing Every Aspect of EDA

    There is a lot of hype in the industry around AI, but behind the hype there is the reality. That reality is that AI really is impacting virtually every aspect of semiconductor design. However, its not as simple as taking general purpose AI solutions and hoping they work for EDA, the risks are too...

  43. Leveraging Safety Processor Expertise to Develop RISC-V Based Automotive Implementations

    The podcast interview explores the role of RISC-V in the automotive sector. It begins with a brief introduction to RISC-V, explaining it as an open standard instruction set architecture (ISA). The discussion then shifts to current automotive trends from a processing perspective, highlighting...

  44. Next-Gen Neuromorphic Researchers Look to Future

    In this special episode of the Brains and Machines podcast, Dr. Sunny Bains and Dr. Giulia D’Angelo talk to four early career researchers: Dr. Kenneth Stewart, a computer scientist at the U.S. Naval Research Laboratory in Washington DC; Dr. Laura Kriener, a postdoctoral researcher at The…

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  45. Preparing for CRA and Open-Source Silicon Security

    In this podcast, we talk focus on security, talking to Infineon Technologies about the Cyber Resilience Act (CRA) and its implications for the entire supply chain, plus a chat with zeroRISC about the role of open-source silicon security in embedded systems and IoT.

  46. SynSense Research Head Talks Combined Sensing, Processing

    In this episode, Dr. Sunny Bains talks to Dr. Dylan Muir, the head of research at SynSense. They discuss the company’s products, including Speck, Xylo, and Rockpool, some of the design choices that were made to bring these to market, and their recent acquisition of sister company IniVation....

  47. AI inferencing, Software Ecosystems and Trends in Industrial Automation

    This week’s EE Times Current features three exclusive interviews recently conducted by embedded.com’s editor-in-chief, Nitin Dahad at Embedded World 2024 in Nuremberg. Nitin discussed topics including AI inferencing, Software Ecosystems and Trends in Industrial Automation.

  48. Half-Human–Scale SpiNNaker 2 Machine on Cloud in 2024

    In this episode, Dr. Sunny Bains talks with Professor Christian Mayr from the Technical University of Dresden, who worked on SpiNNaker with Steve Furber for many years. He is taking that project into the future with SpiNNaker 2, which is mostly built, SpiNNaker 3, which is his next design…

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  49. Bio-Inspired Networks to Interface with Nervous System

    Dr. Elisa Donati of the Institute of Neuroinformatics in Zurich talks to Dr. Sunny Bains about neuromorphic circuits for prosthetics, drug delivery and more. Discussion follows with Dr. Giulia D’Angelo from the Fortiss research institute in Munich, and Professor Ralph Etienne-Cummings of Johns...

  50. Choosing the Right Technologies for Hybrid AI Chips

    In this episode, Dr. Sunny Bains discusses neuromorphic chips with Dr. Amirreza Yousefzadeh, who has most recently worked at imec and the University of Twente. Discussion follows with Dr. Giulia D’Angelo from the Fortiss research institute in Munich, and Professor Ralph Etienne-Cummings of Johns...

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ABOUT THIS SHOW

EE Times Current provides a deep dive into the most compelling stories in the electronics industry. Tune in to keep yourself current on what matters to design engineers and other tech industry professionals

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EE Times On Air

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Frequently Asked Questions

How many episodes does EE Times Current have?

EE Times Current currently has 278 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.

What is EE Times Current about?

EE Times Current provides a deep dive into the most compelling stories in the electronics industry. Tune in to keep yourself current on what matters to design engineers and other tech industry professionals

How often does EE Times Current release new episodes?

EE Times Current publishes regularly with 278 episodes available. Check the episode list for the typical release schedule.

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You can listen to EE Times Current on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.

Who hosts EE Times Current?

EE Times Current is created and hosted by EE Times On Air.
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