EETimes On Air

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.

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 complete, scalable designs and rapid prototyping, facilitating faster time to market for manufacturers.

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 from the Czech Technical University in Prague and Prof. Ralph Etienne-Cummings of Johns Hopkins University.

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 not acceptable. What is needed are Verifiable AI solutions that deliver results that users can trust and that reduce the overall resources needed to complete a task. At Siemens EDA we have been able to leverage Verifiable AI to accelerate virtually every aspect of the design and verification process. 

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. 

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 Stockholm, Sweden; and Dr. Fabrizio Ottati, an AI/ML computer architect at NXP Semiconductors in Hamburg, Germany. They discuss learning rules for spiking neural networks, primitives for computations on neuromorphic hardware, and the benefits and drawbacks of neuromorphic engineering. 

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.

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 Ralph Etienne-Cummings of Johns Hopkins University.

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. 

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 Czech Technical University in Prague, and Professor Ralph Etienne-Cummings of Johns Hopkins University.

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.

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.

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 coherence. From mitigating datapath bottlenecks to unlocking new frontiers in compute throughput, we dissect the significance of next generation electro optical interfaces with 1.6T Ethernet in shaping the future of computing infrastructures.

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 D’Angelo from the Fortiss research institute in Munich, and Professor Ralph Etienne-Cummings of Johns Hopkins University.

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 backpropagation compatible with spiking neural networks, dealing with device variability, and one- and few-shot learning.

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. 

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, his work developing the dynamic vision sensor (also known as an event camera) and the pros and cons of sparse representations.

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 designed and fabricated.

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 robotic touch. Discussion follows with Dr. Sunny Bains of University College London, and Prof. Ralph Etienne-Cummings of Johns Hopkins University.

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 president and general manager of the power solutions group at onsemi, we analyze the pivotal role that SiC solutions play in optimizing energy harvesting and efficient grid integration for sustainable energy sources. We will also introduce the next PowerUP Energy Virtual Conference, coming on Dec. 12 and 13.