EE Times Current show

EE Times Current

Summary: 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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  • Artist: EE Times On Air
  • Copyright: Copyright 2023 EE Times Current

Podcasts:

 Why Sound Processing Takes Time, Not Just Frequency | File Type: audio/mpeg | Duration: 0:45:40

In this episode, Professor Shih-Chii Liu (https://sensors.ini.ch/people/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 (https://www.sunnybains.com/), 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 (https://www.linkedin.com/in/giuliadangelo/) from the Fortiss research institute in Munich, and Professor Ralph Etienne-Cummings (https://engineering.jhu.edu/faculty/ralph-etienne-cummings/) of Johns Hopkins University.

 Helping Spiking Neural Networks Can Learn to Learn | File Type: audio/mpeg | Duration: 0:45:18

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.

 Giving the Humanoid iCub Embodied, Neuromorphic Vision | File Type: audio/mpeg | Duration: 0:44:45

In this episode of Brains and Machines (https://brainsandmachines.net/), you’ll hear Dr. Chiara Bartolozzi (https://www.iit.it/it/people-details/-/people/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 | File Type: audio/mpeg | Duration: 0:46:33

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.

 Ferroelectric Memristors and Exotic Materials to Drive AI | File Type: audio/mpeg | Duration: 0:42:02

In this episode of the Brains and Machines podcast, EE Times regular Sunny Bains (https://www.sunnybains.com/) gets deep into nanoscale ferroelectrics with Professor Beatriz Noheda (https://www.rug.nl/staff/b.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.

 Perceiving Touch With Event-Based Neuromorphic Computing | File Type: audio/mpeg | Duration: 0:45:02

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.

 PowerUP Energy: The Future with Renewable Energies | File Type: audio/mpeg | Duration: 0:15:24

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.

 How Memristors Will Help Machines Think at Different Timescales | File Type: audio/mpeg | Duration: 0:50:15

In the latest episode of Brains and Machines (http://brainsandmachines.net/), EE Times regular Dr. Sunny Bains (https://www.sunnybains.com/) talks to Professor Melika Payvand (https://www.ini.uzh.ch/en/research/groups/EIS/people.html), 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 (https://www.linkedin.com/in/giuliadangelo/) from the Italian Institute of Technology and Professor Ralph Etienne-Cummings (https://engineering.jhu.edu/faculty/ralph-etienne-cummings/) from Johns Hopkins University.

 ARM Inventor Steve Furber on SpiNNaker 1, 2, and Beyond | File Type: audio/mpeg | Duration: 0:45:00

In this latest episode of Brains and Machines (http://brainsandmachines.net/), EE Times regular Dr. Sunny Bains (https://www.sunnybains.com/) talks to now Emeritus Professor Steve Furber (http://apt.cs.manchester.ac.uk/people/sfurber/) 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. Giulia D’Angelo (https://www.linkedin.com/in/giuliadangelo/) from the Italian Institute of Technology and Professor Ralph Etienne-Cummings (https://engineering.jhu.edu/faculty/ralph-etienne-cummings/) from Johns Hopkins University.

 Innovation Under the Hood - Part 2 | File Type: audio/mpeg | Duration: 0:34:24

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 on the competitive landscape of EVs. However, what are some other names that are contributing to innovation? In today's episode of EE Times Current, we will learn more about the cutting-edge technology that goes into electric vehicles.

 Innovation Under the Hood | File Type: audio/mpeg | Duration: 0:23:53

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 | File Type: audio/mpeg | Duration: 0:46:00

In this episode of EE Times Current, Dr. Giulia D’Angelo (https://www.linkedin.com/in/giuliadangelo/) talks to Professor Guillermo Gallego (https://sites.google.com/view/guillermogallego), 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 (https://www.sunnybains.com/) from the University College London and Professor Ralph Etienne-Cummings (https://engineering.jhu.edu/faculty/ralph-etienne-cummings/) from Johns Hopkins University.

 AI and Connectivity at the Edge and Endpoint | File Type: audio/mpeg | Duration: 0:29:46

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 these components seamlessly fit together and stay tuned as we explore real use cases such as computer vision, real-time analytics, and so much more.

 Seeing Robotics and Machine Vision as Dynamical Systems | File Type: audio/mpeg | Duration: 0:48:33

In this episode of the Brains and Machines (http://brainsandmachines.net/) podcast, EE Times regular Sunny Bains (http://sunnybains.com/) talks to Dr Yulia Sandamirskaya (https://www.zhaw.ch/en/lsfm/institutes-centres/icls/cognitive-computing-in-life-sciences/research-group-neuromorphic-computing/), 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 vision. After that, Sunny discusses the interview with Giulia D’Angelo (https://www.linkedin.com/in/giuliadangelo/) from the Italian Institute of Technology and Ralph Etienne-Cummings (https://engineering.jhu.edu/faculty/ralph-etienne-cummings/) from Johns Hopkins University.

 Building Brain-Like Systems from Sub-Threshold Electronics | File Type: audio/mpeg | Duration: 0:44:35

In this episode of the Brains and Machines (http://brainsandmachines.net/) podcast, EE Times regular Sunny Bains (http://sunnybains.com/) talks to Professor Giacomo Indiveri (https://www.ini.uzh.ch/en/research/groups/ncs.html), 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 interview with Giulia D’Angelo (https://www.linkedin.com/in/giuliadangelo/) from the Italian Institute of Technology and Ralph Etienne-Cummings (https://engineering.jhu.edu/faculty/ralph-etienne-cummings/) from Johns Hopkins University.

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