EE Times Current
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
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 own. Success in the AI era also depends on predictable execution and disciplined management of total co
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. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph
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 expose system-level issues before tapeout. We will look at how digital twins are becoming the shared founda
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, Dr. Jim Shiely builds on themes from his Patterning the Singularity leadership work to explore the sem
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 modalities, motor control, and learning across systems. They also examine commercial directions and revisit th
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 defined by the compute in any single box, but by how efficiently data moves, is stored, and is secured ac
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 infrastructure to deliver a new generation of agentic AI capabilities for engineering teams. In this episode, we sit
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 approach to intelligence. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University
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 unpack the interface technologies driving this evolution: from automotive SerDes to advanced imaging and n
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 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
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
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
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?
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
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
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
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?
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?
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
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 Renesas as a field-proven leader within this technology space can empower you and your customers to move from
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 outlining the current state of multi-die design and the elements shaping future developments. Discover how
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. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Et
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 everywhere these days, from space exploration to dating apps, and Siemens has been a pioneer in this sp
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 from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins Uni
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 D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns H
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, traditional simulation and ERC tools often aren’t enough. They’re reactive by nature, catching issues t
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 simulators. In this episode of Brains and Machines, he talks to Dr. Sunny Bains of University College London a
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 important for machine autonomy. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical Univ
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 important for machine autonomy. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical Uni
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 chips and integrity into benchmarks. Discussion follows with Dr. Giulia D’Angelo from the Czech Techni
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 multi-die testing.In this episode, we dive deep into the world of multi-die design for test: what it me
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.
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.
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 follows with Dr .Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne
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 the Czech Technical University in Prague and Prof. Ralph Etienne-Cummings of Johns Hopkins University.
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 D’Angelo from the Czech Technical University in Prague and Prof Ralph Etienne-Cummings of Johns Hopkins Univer
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 – including what we call ‘shift-left’ strategies that pull signoff-quality verification into the desig
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 of Johns Hopkins University.
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 Czech Technical University in Prague and Prof. Ralph Etienne-Cummings of Johns Hopkins University.
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 for xEV traction inverters, zonal control, and portable power stations. Renesas’ approach emphasizes comp
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 of the founders of the field of neuromorphic engineering. Discussion follows with Dr Giulia D’Angelo fr
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 high and when dealing with parts per billion (or trillion) in acceptable errors, hallucinations are no
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 advancements and the increasing importance of robust, high-performance computing.
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 University of Bern in Switzerland; Jens Pedersen, a Ph.D. student at The Royal Institute of Technology (KTH) in
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.
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. Discussion follows with Dr. Giulia D’Angelo from the Fortiss research institute in Munich, and Professor Ral
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.
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 project, and the startup SpiNNcloud. Discussion follows with Dr. Giulia D’Angelo Marie Curie Fellow at The Cze
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 Hopkins University.
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 Hopkins University.
How 1.6T Ethernet will Enable the World's Fastest Datacenters
Join us in lasteset episode of EETimes Current as we delve into the transformative potential of 1.6 Terabit Ethernet (1.6TbE) alongside the pivotal role played by advanced 224G SerDes and emerging linear optical interfaces. Discover how this convergence optimizes area, power, and latency, enabling efficient processing of large language models and unstructured data with memory pooling and cache co
Why Sound Processing Takes Time, Not Just Frequency
In this episode, Professor Shih-Chii Liu, co-director of the Sensors Group at the Institute of Neuroinformatics (INI)—part of both the ETH and the University of Zurich, Switzerland—talks to Brains and Machines host, Dr. Sunny Bains, about neuromorphic cochlea, sparsity and deep networks, and what it will take for the technology to solve real problems in industry. Discussion follows with Dr. Giulia
Helping Spiking Neural Networks Can Learn to Learn
In this episode, Professor Emre Neftci, director of the Neuromorphic Software Ecosystems group at the Peter Grünberg Institute, talks to Brains and Machines host, Dr. Sunny Bains. He and his PGI colleagues, part of the Jülich Research Centre in Germany, think about how neurons can be trained and organized to learn in an efficient and brain-inspired way. You'll hear about his work in making backpro
Giving the Humanoid iCub Embodied, Neuromorphic Vision
In this episode of Brains and Machines, you’ll hear Dr. Chiara Bartolozzi talk about how neuromorphic technology can be used to implement attention mechanisms, the importance of embodiment, and why we need a solid theory of how neural systems can work together to create intelligence.
Tobi Delbrück Talks Caltech, Cameras, and Neural Control
In this episode of the Brains and Machines podcast, EE Times regular Sunny Bains talks to Dr. Tobi Delbrück, one of the original neuromorphic engineers from Carver Mead's team at Caltech. Now a professor at the Institute of Neuroinformatics in Zurich, he has spent his career developing neuromorphic cameras and other technology. In this interview, you'll find out how he got started in the field, hi
Ferroelectric Memristors and Exotic Materials to Drive AI
In this episode of the Brains and Machines podcast, EE Times regular Sunny Bains gets deep into nanoscale ferroelectrics with Professor Beatriz Noheda, director of the Groningen Cognitive Systems and Materials Center (CogniGron). They discuss how this unusual interdisciplinary research center works, why nanoscale ferroelectrics may be useful in brain-like systems, and a little about how they are d
Perceiving Touch With Event-Based Neuromorphic Computing
In this episode of the Brains and Machines podcast, Dr. Giulia D’Angelo from the Italian Institute of Technology interviews her IIT colleague, Dr. Simeon Bamford, who is currently working on tactile neuromorphic sensors. They talk about creating circuits to perform functions lost to brain damage, Bamford’s involvement with the commercialization of dynamic vision sensors, and his latest research on
PowerUP Energy: The Future with Renewable Energies
Our future environment depends on renewable and sustainable energy. To maximize sustainable energy sources, energy gathering and grid integration are essential. Silicon carbide (SiC) makes green energy systems more efficient and resilient. To ensure high-quality goods and system design flexibility, end-to-end vertical integration is necessary. In this podcast with Simon Keeton, executive vice pres
How Memristors Will Help Machines Think at Different Timescales
In the latest episode of Brains and Machines, EE Times regular Dr. Sunny Bains talks to Professor Melika Payvand, who designs neural systems from the circuit-level up at the Institute of Neuroinformatics in Zurich. You'll find out the role that memristors are playing in the systems she designs, why neural circuits need to operate at different timescales, and why copying some features of biological
ARM Inventor Steve Furber on SpiNNaker 1, 2, and Beyond
In this latest episode of Brains and Machines, EE Times regular Dr. Sunny Bains talks to now Emeritus Professor Steve Furber as he prepares to leave the University of Manchester. They talk about associative memories, the original SpiNNaker neural simulator designed using densely-interconnected ARM cores, and the new generation of the technology currently being assembled. Discussion follows with Dr
Innovation Under the Hood - Part 2
In Part 2 our conversation with Power Integrations' Peter Vaughan, we'll take a more in-depth look at the technology that is already available for electric vehicles (EVs) as well as the path that lies ahead. The last time, we covered every aspect of the history of the electric car, which led us naturally to the present day and the introduction of the brand name Tesla, which has had a major impact
Innovation Under the Hood
In this episode of EE Times Current, we take you on an electrifying trip through the history of electric vehicles. These silent, emission-free technological wonders were the forerunners of clean, green transportation in a world dominated by gasoline-powered automobiles. Power Integrations' Peter Vaughan will guide us through the past, present, and future of electric vehicles powering technology.
How to See 'Where' Through Low-Power Event Cameras
In this episode of EE Times Current, Dr. Giulia D’Angelo talks to Professor Guillermo Gallego, from the Technical University of Berlin. They discuss the application of the new generation of bio-inspired event-driven cameras and their algorithms to extract cues of motion, depth and optical flow estimation. After that, Giulia discusses the interview with Dr. Sunny Bains from the University College L
AI and Connectivity at the Edge and Endpoint
Join us for the latest episode of our EE Times Current podcast, where we delve into the fascinating world of AI and Connectivity at the Edge solutions.Kaushal Vora and Mo Dogar from Renesas are our special guests for this episode. Together, we'll discuss the crucial hardware and software components required to realize this cutting-edge technology. Join us as we unravel the complex challenge of how
Seeing Robotics and Machine Vision as Dynamical Systems
In this episode of the Brains and Machines podcast, EE Times regular Sunny Bains talks to Dr Yulia Sandamirskaya, who has just created the Neuromorphic Computing Group at Zurich University of Applied Sciences. We discuss the role that dynamical systems theory plays in robotics, her work at with Intel’s Loihi platform, and what she plans to do in her new position at ZHAW, particularly related to vi
Building Brain-Like Systems from Sub-Threshold Electronics
In this episode of the Brains and Machines podcast, EE Times regular Sunny Bains talks to Professor Giacomo Indiveri, from the Institute of Neuroinformatics in Zurich. They talk about building biologically-plausible neural circuits in silicon, the trade-offs involved in using analog and digital circuits, and how the technology has been translated into startups. After that, Sunny discusses the inte
Understanding Real Brains with Robotic Rats, and Vice Versa
In this episode of the Brains and Machines podcast, EE Times regular Sunny Bains talks to Dr Mitra Hartmann, Professor of both Biomedical and Mechanical Engineering at Northwestern University, and head of their sensory and neural engineering group. They discuss the ways in which modelling animal perceptual systems—in her case, the rat—can make us better at both understanding the brain and building
MES & Industry 4.0 Summit: Discovering the Future of Smart Manufacturing
In today's podcast, we hear from embedded.com editor in chief Nitin Dahad who attended the Industry 4.0 Summit in Porto, Portugal, interviewing executives handling manufacturing, operations and IT at Lam Research, Micron and Wolfspeed.
On-Chip Learning is Missing Neuromorphic Building Block
In this episode of Brains and Machines, EE Times regular Sunny Bains talks to Elisabetta Chicca, head of the bio-inspired Circuits and Systems research group at the University of Groningen, about building neural chips with memristors, adding electronic brains to neural robots, some of the current difficulties with learning algorithms for spiking systems and more. Discussion follows with Giulia D’A
André van Schaik Discusses New Neuromorphic Simulator
In this first episode of the new Brains and Machines podcast, EE Times regular Sunny Bains interviews André van Schaik from the Western Sydney University about how neuromorphic engineering has changed since the early 90s, a new project to help simulate neural and neuromorphic models, and more. Discussion follows with Giulia D’Angelo from the Italian Institute of Technology and Ralph Etienne-Cummin
Electro Soft CEO Karla Trotman, on Reaching the Top
Today’s episode, hosted by editor in chief Brett Brune, is first in a series of podcasts and articles on Diversity and Belonging in Electronics Engineering. You’ll hear from Electro Soft CEO Karla Trotman, on reaching the top.
Silicon 100: Startups Worth Watching in 2023
EE Times has just released the 23rd edition of the Silicon 100, our annual list of electronics and semiconductor startups to watch. In this podcast with Embedded.com editor in chief Nitin Dahad, technology journalist Peter Clarke analyzes the current dynamics of the global startup ecosystem and discusses emerging technology trends.
Special Report: Enabling the Factory of 2030
Join us as we hear from Brett Brune, editor in chief of EETimes.com, and Barbara Jorgenson, editor in chief of EPSNews.com, about the exciting developments this report covers and what it means for the future of smart manufacturing.
How FIT is GaN?
Being a power engineer is like being a soccer goalie: no one notices you unless you fail and let one in. And if you’re controlling enough power, EVERYONE will notice because failure is typically accompanied by a startling bang and a cloud of smoke. Wide Bandgap technology, and GaN in particular, is relatively new, so how can a responsible engineer be convinced that the technology is ready for prim
5G mmWave Networks: How Far Have We Reached?
In this podcast, Nitin Dahad, editor in chief of Embedded.com, talks to Maryam Rofougaran, CEO and co-founder of Movandi, about 5G mmWave in terms of trends, opportunities and challenges for deployment, and what progress she expects over the next 18 months or so.
Special Report: What RF Wireless Needs Now
Join us as we hear from Brett Brune, editor in chief of EETimes.com, and Gina Roos, editor in chief of ElectronicProducts.com, about the exciting developments this report covers and what it means for the future of RF/Wireless technology.
Global Silicon Startups Contest Catalyzes Deep Tech Innovation
In this podcast, we talk to Silicon Catalyst and Arm on how their Global Silicon Startups contest offers opportunity for accelerating growth.
Security for SoC Interfaces Takes Center Stage in Data Protection
ue to today’s connected world, a high volume of valuable data, susceptible to tampering and physical attacks, is processed, stored, and moved between devices, cars, and data centers. With each connected device comes more data to process and ultimately secure through various interfaces and systems to the cloud. Security is on center stage in the semiconductor industry, and all interfaces and data t
Reducing Energy Consumed By Household Appliances
Power electronics must improve efficiency to meet international standards and reduce power waste, making in this way products more sustainable. From mobile phone chargers to industrial SMPS, all AC-powered applications need power supplies. Cambridge startup Pulsiv emerged with their power electronics technology. In this podcast episode featuring Darrel Kingham, Chief Executive Officer of Pulsiv, w
Demystifying AI: How Neural Networks Like Transformers Really Work
Today’s feature interview is with Gordon Cooper, Product Manager for AI and neural network processor IP at Synopsys. We cover the differences between Generative AI and object detection AI, as well as compared Generative AI to embedded AI. We’ll discuss ChatGPT, a transformer AI model, and explain its ability to identify patterns within large datasets. We will also discuss the challenges of impleme
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