In this week’s Fish Fry, we are talking about electrostatic multi-nozzle printing technology, industrial microfabrication, and life-like lasers! Walter Braun (COO – Scrona) and I investigate the biggest challenges facing the microfabrication industry today, why Walter believes that the next wave of semiconductor innovation will rely on novel semiconductor packaging, and the details of Scrona’s multi-nozzle printing technology. Also this week, I examine new self-organizing lasers built by a team of researchers from Imperial College London and University College London that could lead to new materials for sensing, computing, light sources, and displays.

“What gets measured gets improved.”  - Peter Drucker

In this week’s Fish Fry podcast, Daniel Schoenfelder from Altium joins me to discuss the EDDI (Electronic Design to Delivery Index) report, how it can help you source components for your next design and what it can tell us about where the supply chain stands today.  Also this week, I take a closer look at a new machine learning algorithm developed by the U.S. Department of Energy's Argonne National Laboratory that can predict how long a lithium-ion battery will last.

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.

Motors big and small take center stage in this week’s Fish Fry podcast! Marcello Williams Silva (Infineon) joins us to discuss trends in automotive designs. We investigate how consolidation is changing the automotive landscape, the role that parallel processing units will play in future automotive and eMobility designs, and the critical design elements we should consider when it comes to our automotive designs. Keeping with our motorized theme this week, I also check out the first DNA-based motors that combine computational power with the ability to burn fuel and move in an intentional direction.

In this week’s podcast, we’re mixing up some resistive random-access memory, honey and a dash of neuromorphic computing! It’s going to be delightful! Ashish Pancholy (General Manager and VP of Crossbar) joins me to discuss the biggest advantages of Crossbar's resistive random-access memory (ReRAM) and why this kind of technology is perfect for secure applications where every bit is critical. Also this week, I take a closer look at why honey might be a sweet solution for developing environmentally friendly components for neuromorphic computers. 

This week I am happy to announce that Anand Nambiar (Global head of Semiconductor Materials at EMD Electronics) is joining me to discuss technological innovation amidst a global supply chain shortage. Anand and I discuss why EMD Electronics has pledged an investment of one billion dollars to support customers in the United States and a total of 3.5 billion dollars on a global scale. We discuss how this investment supports not only capacity expansion but also new material and technology innovation. Also this week, I take a closer look at a new 3D printing method developed by University College London that allowed them to 3D print medicinal tablets in seconds.

Artificial intelligence is the name of the game in this week’s podcast. My guest is Yasser Kahn - Founder and CEO of MicroAI. Yasser and I chat about what sets MicroAI apart from other edge AI providers, the benefits of proactive maintenance at the edge versus the cloud, and how MicroAI is advancing the next generation of smart machines. Also this week, I take a closer look at how DeepMind's new deep neural network – called Ithaca – is unlocking the secrets of ancient texts. 

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.