Episodes
Friday Jul 09, 2021
Friday Jul 09, 2021
Who loves a good ol’ fashioned hackathon? In this week’s Fish Fry podcast, we are talking about encouraging innovation in machine learning with ADLINK’s recent 20/20 Vision Hack. Paul Wealls (ADLINK) and Sergio Velmay join me to discuss the motivations behind creation of this hackathon, the details of Sergios’s winning project entry, and how ADLINK and Intel are looking to help solve real-world problems in manufacturing, logistics and industrial applications with this unique program. Also this week, I check out how a group of engineers from the University of Illinois (with the help of two supercomputers) have developed a way to use physics-informed neural networks to predict the outcomes of the complex processes involved in additive manufacturing.
Friday Jun 18, 2021
Friday Jun 18, 2021
Friday May 28, 2021
Friday May 28, 2021
The internet of things takes center stage in this week's Fish Fry podcast! Peter De Backer (imec) joins me to discuss the challenges of developing neural networks for IoT devices and the details of imec’s Analog Inference Accelerator (AnIA). Also this week, I take a closer look at how a team of researchers from National University of Singapore (NUS) and Japan's Tohoku University (TU) used spin-torque oscillators to harvest and convert wireless radio frequencies into energy.
Friday May 14, 2021
The World According to Analog: Why Our Digital Futures Depend on Analog
Friday May 14, 2021
Friday May 14, 2021
In this week’s Fish Fry podcast, we investigate the analog data conundrum with Tom Doyle and Marcie Weinstein from Aspinity. We take a closer look at the power and data challenges of processing at the edge, what Aspinity’s new analog machine learning IC is all about, and the details of their new evaluation kits that utilize their analogML core. Also this week, I dig into the details of a new organic, metal free, non-toxic battery developed by Texas A&M University. (Spoiler Alert: It can be recycled by breaking it down in acid!)
Friday Apr 16, 2021
Machine Learning Megaphone: Advancements in Voice Technology
Friday Apr 16, 2021
Friday Apr 16, 2021
This week’s podcast is all about the advancements in voice technology. Laurent Pilati (NXP) joins me to discuss the challenges surrounding machine learning for voice tech, the details of NXP’s Voice Intelligent Technology (VIT), and what benchmark metrics are involved for the qualification for a voice design. Also this week, I take a closer look at a new special glove-like device developed at UCLA that can translate American Sign Language into English spoken speech in real-time through a smartphone app.
Friday Jan 15, 2021
Full Stack Future Proofing: How LEVL is Changing the Device Identity Game
Friday Jan 15, 2021
Friday Jan 15, 2021
Step right up ladies and gentlemen! We’ve got all sorts of EE fun lined up for this week’s Fish Fry podcast. Tim Colleran (LEVL) joins us to discuss LEVL-ID, what sets this device identity technology apart from MAC randomization, and why full stack device Intelligence is key to its success. Also this week, we check out a new research study from Georgetown University that contends that mirroring human visual learning will be key to helping AI software to think more like a human brain.
Friday Dec 11, 2020
Friday Dec 11, 2020
How do we know that what our neural networks are telling us should be trusted? Can we build confidence into our neural networks so they can answer that for us? According to a new study out of MIT and Harvard, we can and it won’t break the computational bank! In this week’s Fish Fry podcast, we first check out a new way for deep learning neural networks to quickly estimate confidence levels in their output. Keeping with our verification theme, Moshik Rubin (Cadence Design Systems) also joins us to discuss the challenges of SoC verification, the increasing need for system level solutions today, and where he thinks chip level verification is headed in the future.