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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

EE Times Current EE Times On Air

    • Nachrichten

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

    Half-Human–Scale SpiNNaker 2 Machine on Cloud in 2024

    Half-Human–Scale SpiNNaker 2 Machine on Cloud in 2024

    In this episode, Dr. Sunny Bains (https://www.sunnybains.com/) talks with Professor Christian Mayr (https://tu-dresden.de/ing/elektrotechnik/iee/hpsn/die-professur/inhaber?set_language=en) 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 (https://spinncloud.com/). Discussion follows with Dr. Giulia D’Angelo (https://www.linkedin.com/in/giuliadangelo/) Marie Curie Fellow at The Czech Technical University in Prague, and Professor Ralph Etienne-Cummings (https://engineering.jhu.edu/faculty/ralph-etienne-cummings/) of Johns Hopkins University.

    • 43 Min.
    Bio-Inspired Networks to Interface with Nervous System

    Bio-Inspired Networks to Interface with Nervous System

    Dr. Elisa Donati of the Institute of Neuroinformatics in Zurich talks to Dr. Sunny Bains (https://www.sunnybains.com/) about neuromorphic circuits for prosthetics, drug delivery and more. 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.

    • 45 Min.
    Choosing the Right Technologies for Hybrid AI Chips

    Choosing the Right Technologies for Hybrid AI Chips

    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.

    • 52 Min.
    How 1.6T Ethernet will Enable the World's Fastest Datacenters 

    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 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.

    • 28 Min.
    Why Sound Processing Takes Time, Not Just Frequency

    Why Sound Processing Takes Time, Not Just Frequency

    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.

    • 45 Min.
    Helping Spiking Neural Networks Can Learn to Learn

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

    • 45 Min.

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