Can big data and artificial intelligence help solve the problems plaguing the semiconductor industry? That is exactly the topic of this week’s Fish Fry podcast! Athinia CEO Laura Matz joins me to discuss how Athinia is using AI and big data to solve critical semiconductor challenges. We discuss collaboration across the semiconductor industry, how Athinia is creating new insights in material optimization, and why military-grade requirements for data security are integral to Althinia’s cloud infrastructure and operations.

What if we could revolutionize manufacturing and save energy at the same time? My guest is PulseForge CEO Stan Farnsworth and we are digging into the details of PulseForge’s new digital thermal processing. Stan and I investigate how this kind of thermal processing differs from traditional thermal processing and how it can vastly reduce the amount of energy used in manufacturing. We also take a closer look at each of PulseForge’s application areas, including curing and sintering, soldering and debonding, and why Stan believes that rethinking manufacturing is crucial to future electronic design innovation. 

Are you ready for some exciting nanocrystal technology? I certainly hope so! In this week’s Fish Fry podcast, Igor Coropceanu joins me to discuss how he and a team of fellow researchers at the University of Chicago discovered a new way to make nanocrystals function together electronically. We explore why this breakthrough in nanocrystal technology could lead to future devices with new abilities, what applications this would be a perfect fit for, and why this study reflects a step forward in new material research as well.

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 Fish Fry podcast, we investigate a new ultra-compact integrated photonic device that could pave the way for a new class of integrated photonic circuits. University of Chicago Asst. Professor Alex High joins me to discuss how his team at University of Chicago’s Pritzker School of Molecular Engineering developed a new way to guide light in one direction on a tiny scale. We take a closer look at why this breakthrough could lead to even smaller photonic circuits and the details of a new element developed by this team at the University of Chicago that could shape the future of photonic circuits.

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.