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. 

We’ve got a virtual grab bag of EE goodness in this week’s Fish Fry podcast! First up, we take a closer look at some very unique robots unveiled by a recent research study at Northwestern University. We take a closer look at how these tiny robots (which are powered by light and rotating magnetic fields) are able to walk, roll, and transport cargo. Next, Stefan Müller (CTO and Founder - FMC) joins us to discuss the details of ferroelectric nonvolatile memory and what sets it apart from other memory solutions today. Finally, we check out what needs to be done in order for artificial intelligence or machine learning to get into mainstream edge devices.

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. 

You know...for kids. - Norville Barnes (The Hudsucker Proxy)

This week’s Fish Fry podcast is dedicated to being indoors and fighting off quarantine boredom for kids and adults alike!   Phil Hutchinson (element14) joins us to discuss the BBC micro:bit v2. Phil and I discuss the evolution of the micro:bit, how this new version differs from the previous version, and how the element14 community supports this unique learning platform. Also this week, we check out element14’s Recycle & Retrofit Challenge that might just help you keep the quarantine blues at bay while reducing electronics waste and upcycling vintage electronics. Finally, we check out a powerful new kickstarter campaign called the Solar Cow -  the World's first social project delivering real individual data of impact.

Artificial intelligence and machine learning take center stage in this week’s Fish Fry podcast. First, we take a closer look at how a new algorithm called ART (Automated Recommendation Tool) is ushering in a new age of enlightenment in the world of synthetic biology. We investigate how this revolutionary new algorithm was tested and what it means for the future of bioengineered cells. Aaron Tersteeg (Intel) also joins us this week to discuss Intel’s OpenVINO tool kit. Aaron and I chat about the biggest AI inferencing challenges facing us today, the details of the OpenVINO “write once, deploy anywhere” approach, and what you should keep in mind when starting a new AI project.

“Testing leads to failure, and failure leads to understanding.”
- Burt Rutan 

In this week’s podcast, we’re talking about testing, testing, and even more testing! We start things off with an investigation into a new microneedle patch developed at Rice University that is hoping to make testing for malaria easier and faster than ever before. Also this week, Geir Eide (Mentor) joins me to discuss the past, present, and future of IC testing. Geir and I discuss why the days of Pass/Fail testing are long gone, why test equipment has evolved into machine learning and data collection equipment, and the details of Mentor’s new Tessent Streaming Scan Network.

In today’s ever-changing electronic engineering ecosystem, system modeling is more important than ever before. In this week’s podcast, Brad Griffin (Cadence Design Systems) joins us to discuss the limitations of system-level modeling today, how system analysis challenges are driving new levels of performance, and how Clarity 3D Transient Solver addresses critical system-level EMI challenges. Also this week, we take a look at the PufferBot - a new Pufferfish-inspired robot developed at the University of Colorado Boulder that aims to improve drone safety. 

In this week’s podcast, we have a virtual grab bag of electronic engineering goodness. We start things off with a story about the unique exploration of the Bennu asteroid. We take a closer look at how  NASA’S OSIRIS-REx mission successfully mapped out Bennu's gravity field and how this information has provided vital clues about the formation of asteroids. Also this week, Rob Persons (Smart Embedded Computing) joins us to discuss supply chain security and Xavier Marchand (Interface Concept) and I chat about the trends trends encouraging change in the VPX backplane technology.