Amelia's Weekly Fish Fry

We are diving headfirst into the world of RTL design this week! Rob Knoth (Cadence Design Systems) and I chat about RTL design and implementation issues facing engineers today, the details of Cadence’s Joules RTL Design Studio and the role that artificial intelligence plays in this solution. Also this week, I check out the world's first human brain-scale neuromorphic supercomputer.

My podcast guest this week is Mattias Wagner from Flux! Mattias and I investigate the role that AI plays in the Flux PCB design platform. We also delve into the details of the Flux Method, Flux Model and Flux Co-pilot, and discuss why working smarter not harder is cornerstone to the Flux mission. I also investigate why the discovery of phosphorus in the outer reaches of the galaxy could have major implications for the possibility of alien life. 

In this week's Fish Fry podcast, Jo De Boeck (imec) joins me to chat about one of the hottest topics at this year’s ITF World - autonomous driving! Jo and I discuss the biggest challenges surrounding perception in autonomous driving, why there is a need for new compute paradigms in this arena and how imec is strengthening a variety of technology ecosystems through system technology co-optimization.

This week’s Fish Fry podcast is all about AI-driven verification! Matt Graham (Cadence Design Systems) and I examine the what, why, and how of Cadence’s new Verisium AI-driven verification platform. We investigate applications included in this platform and why this platform is a huge shift away from single-run, single-engine algorithms to algorithms that leverage big data and AI across multiple runs of multiple engines throughout the SoC verification lifecycle.

 

I’m serving up a meaty podcast for your listening pleasure this week! My guest Josh Rensch (2023 U.S. DVCon program chair) gives us a sneak peak into this year’s Design and Verification Conference and Exhibition. Josh and I also discuss the details of this year’s DVCon keynote address, who should attend this conference, and how he got involved making custom bacon. Also this week, I investigate how a team of scientists at the University of California San Francisco were able to use artificial intelligence to create original proteins from scratch. 

 

In my Fish Fry podcast this week, Amol Borkar from Cadence Design Systems joins me to discuss the evolution of always-on devices, the role that AI and sensors are playing in the trajectory of always-on device development and the requirements needed for the next generation of always-on devices.

AI once again takes center stage in this week’s Fish Fry podcast! Johanna Pingel from MathWorks and I discuss the differences between complexity vs. explainability in artificial intelligence, how you will know if explainability is right for your application and how explainability will impact the future of AI. Also this week, I examine how AI could predict extreme wildfire danger.

A topic that is near and dear to my heart takes center stage in this week's podcast: sustainability. Iain Galloway (NXP) and Richard Fix (Bosch Sensortec) join me to discuss how you can help solve real-world societal challenges with the NXP HoverGames. We also discuss the variety of components and technologies provided to contestants of this unique design contest and why sustainable food ecosystems is the theme of this year’s HoverGames. Also this week, keeping with our sustainability theme, I how AI is helping save Norway's endangered Atlantic salmon.

Is AI the new electricity? What is the role of AI in disinformation and misinformation? How do we survive and thrive through the AI Revolution? In this week’s podcast, I investigate all of this and more with author, founder of the Next Wave Institute and AI expert Peter Scott. Peter and I also examine Google’s LaMDA research, the motivation to write his book Artificial Intelligence and You” and why Peter believes that AI is like the parable of the blind men and the elephant.

 

AI is the name of the game this week! My special guest is Wei Li, VP and GM, Artificial Intelligence and Analytics (AIA) at Intel. Wei and I dig into the details of Intel’s new Open Source AI Reference Kits. We discuss the motivation to create these open source kits, why community involvement is crucial to Intel’s AI Everywhere campaign, and how engineers of varying levels of expertise can take advantage of these new reference kits. Also this week, I investigate the first AI pilot developed by a team of researchers from the Robotics Institute at Carnegie Mellon University.