In this week’s episode of Fish Fry, Mahesh Turaga (Cadence Design Systems) and I dig into the details of the Cadence OnCloud platform. We investigate why designers are turning to the cloud for EDA, system design, and a whole lot more. Also this week, I check out a new artificial synapse developed by MIT that runs a million times faster than the human brain!
Software defined instrumentation takes center stage in this week’s Fish Fry podcast! Ben Nizette and I chat about how Liquid Instruments is changing the face of test and measurement. We examine each of their hardware platforms and investigate why this kind of flexible, modular, reconfigurable, and shareable instrumentation is the way of the future. Also this week, I check out the first commercially viable flexible plastic microprocessor chips developed by a team of researchers at University of Illinois Urbana-Champaign and British flexible electronics manufacturer PragmatIC Semiconductor.
I have often said that the lure of flying is the lure of beauty. - Amelia Earhart
In this week’s podcast, University of Illinois Urbana-Champaign Professor Naira Hovakimyan joins me to discuss how the development of the new Center for Autonomous Vehicles in Air Transportation Engineering (AVIATE) at UIUC will help charter a course for flying taxis! We investigate Hovakimyan’s L1 adaptive flight control system and the role it will play in the development of this kind of autonomous aircraft. We also chat about the different technologies developed by team members at UIUC in association with this project and how various universities and companies including Georgia Tech, MIT, Boeing, Kitty Hawk and Google Wing are coming together to make flying taxis a reality. Keeping with our high flying theme this week, I also check out the details of a new air utility vehicle called the Speeder 2 unveiled by Mayman Aerospace at the recent Draper Venture Network CEO Summit in California.
In this week’s Fish Fry podcast, Ashish Darbari (Founder and CEO at Axiomise) joins me to chat about the past, present and future of formal verification. Ashish and I explore the three pillars of formal verification, how the perception of formal verification as changed over the years, and why we are seeing the increased adoption of formal verification today. Also this week, I delve into the details of a new immune-system-on-a-chip developed by the Wyss Institute at Harvard university.
SoC verification takes center stage in this week’s podcast! Dave Kelf (CEO of Breker) joins us to discuss why coherency is crucial to system-level verification today, the details of Breker’s new TrekApps, and how these applications can help us bridge the SoC verification gap in our next SoC designs. Also this week, I take a closer look at how a new research project at University of Illinois Urbana-Champaign could finally make DNA a feasible solution for data storage. (Spoiler Alert: They added seven new letters to the DNA alphabet!)
Are you designing with components that you cannot source? At what point in your design process do you think about manufacturing? This is exactly what we are exploring in this week’s Fish Fry podcast! Ted Pawela (Altium) joins me to discuss how Altium and MacroFab are addressing common PCB design communication and procurement issues with an industry-first integrated PCB “Design WITH Manufacturing” application called Altimade. Ted and I investigate how this new application will bridge the design gaps between design, supply chain and manufacturing. Also this week, Ted and I explore the newest version of Altium Designer including the details of the Parts Insight Experience aspect of this new release.
What if your computer could receive directions directly from your thoughts? No keyboard or mouse required? That is exactly what we talk about in this week’s Fish Fry podcast! Evan Coopersmith (EVP of Data Science at AE Studio) joins me to discuss the newest advancements in brain computer interface technology. Evan and I chat about the details of the recent Neural Latents Benchmark Challenge, how AE Studio is leveraging their expertise in machine learning to encourage innovation in BCI technology, and why neuroethical principles that increase human agency are vital to the future of brain computer interface technology.
