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https://engineering.jhu.edu/faculty/ralph-etienne-cummings/
29 partages
https://www.sunnybains.com/
28 partages
http://brainsandmachines.net/
23 partages

https://www.linkedin.com/in/giuliadangelo/
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https://www.linkedin.com/in/damienquerlioz/
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https://www.linkedin.com/in/julian-buechel/
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How AI is Changing Every Aspect of EDA

jeudi 26 septembre 2024 • Durée 31:17

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.

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

mardi 23 juillet 2024 • Durée 13:02

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.

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Why Sound Processing Takes Time, Not Just Frequency

vendredi 15 mars 2024 • Durée 45:40

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.

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Helping Spiking Neural Networks Can Learn to Learn

vendredi 16 février 2024 • Durée 45:18

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.

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Giving the Humanoid iCub Embodied, Neuromorphic Vision

vendredi 9 février 2024 • Durée 44:45

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.

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Tobi Delbrück Talks Caltech, Cameras, and Neural Control

jeudi 25 janvier 2024 • Durée 46:33

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.

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Ferroelectric Memristors and Exotic Materials to Drive AI

vendredi 12 janvier 2024 • Durée 42:02

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.

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Perceiving Touch With Event-Based Neuromorphic Computing

vendredi 15 décembre 2023 • Durée 45:02

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.

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PowerUP Energy: The Future with Renewable Energies

vendredi 8 décembre 2023 • Durée 15:24

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.

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How Memristors Will Help Machines Think at Different Timescales

vendredi 1 décembre 2023 • Durée 50:15

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 dendrites could add computational power to silicon brains. Discussion follows with Dr. Giulia D’Angelo from the Italian Institute of Technology and Professor Ralph Etienne-Cummings from Johns Hopkins University.

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EE Times Current – Détails, épisodes et analyse

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