EE Times Current EE Times On Air

In this episode, Dr. Sunny Bains (https://www.sunnybains.com/) discusses neuromorphic chips with Dr. Amirreza Yousefzadeh (https://people.utwente.nl/a.yousefzadeh), who has most recently worked at imec and the University of Twente. 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.

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 (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.

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 (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. 

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.