Amelia's Weekly Fish Fry

The Speed of Iteration is the Speed of Innovation: How Groq is Accelerating Design Creation

In this week’s podcast, Groq CEO and Founder Jonathan Ross joins me to discuss Groq’s innovative deterministic single-core streaming architecture, why developer velocity is cornerstone to the Groq philosophy, how Groq was able to help accelerate COVID-19 drug discovery with their collaboration with Argonne National Labs, and why Jonathan believes that Star Trek the Next Generation is a leadership gold mine.

The Pursuit of Performance: How AI can Help Optimize Electronic System Design

In this week’s Fish Fry podcast, Ben Gu from Cadence Design and I chat about bringing AI to the world electronic system design! We investigate the electronic system design challenges engineers are facing today, the benefits that AI brings to electronic system optimization and the details of Cadence’s Optimality Intelligent System Explorer. Also this week, I examine a new laser charging system developed by researchers from Sejong University that was able to wirelessly transmit power over one hundred feet. 

Seeds for a New Day: Edge ML, Evolution of IoT and Artificial Leaves that Generate Clean Fuel

Have you heard about the artificial leaves that generate clean fuel? In this week’s Fish Fry podcast, I investigate the details of new flexible autonomous floating artificial leaves developed by a team of researchers from the University of Cambridge that can generate clean fuel from sunlight and water. Also this week, Viktor Vikulov (DANNIE) and I discuss why edge machine learning is the next evolutionary step for IoT, how edge ML could help save personal information in public places, and what kind of challenges we will face in terms of edge machine learning in the future.

Re-Inventing Home Security: Infineon’s New AI/ML-based Smart Alarm System

In this week’s Fish Fry podcast, David Jones (Infineon) and I chat about Infineon’s new battery-powered Smart alarm system. We examine the role that AI and machine learning-based sensor fusion plays in this industry-first acoustic event detection and alarm system and why this kind of battery-powered home security sensor systems could be a game-changer for homes and businesses alike. Also this week, I investigate a new self-charging device developed by a team of researchers from National University of Singapore that can generate electricity from moisture in the air.

 

Cloud First! Leveraging the Cloud for Your System Design

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!

 

One Size Does Not Fit All: The Rise of Bespoke Silicon

Move over off-the-shelf chips, bespoke silicon is coming your way! In this week’s Fish Fry podcast, Walt Hearn from Ansys joins me to discuss the rise of bespoke silicon, the need for open multi-physics platforms, collaboration in the EDA ecosystem, and more. Also this week, I investigate a new bacteria powered wearable device developed by a team of researchers at the University of Massachusetts Amherst. (Spoiler Alert: The bacteria works better when it's dead!)

 

U Can Touch This! BeBop Sensors Brings a Sense of Touch to Robots and More!

You just can't differentiate between a robot and the very best of humans.
- Isaac Asimov

Robotic innovation and the future of human-machine interfaces take center stage in this week’s Fish Fry podcast! Keith McMillen (CEO, Founder - BeBop Sensors) joins me to chat about BeBop’s Intelligent Sensing Technologies which can transform any surface into a touch surface that naturally blends into its environment. We dig into the details of BeBop’s RoboSkin that can provide robots with the sense of touch and discuss why Keith believes that intelligent interfaces will change how we interact with machines in the future. Also this week, I take a closer look at a new robotic learning method called WHIRL developed by a team of researchers at Carnegie Mellon University that could make teaching robots easier than ever before.

The Next Wave of Semiconductor Innovation

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.

 

 

Fast Times in Supply and Demand: How the EDDI Report Can Help Determine How Difficult Sourcing Will Be

“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.

Faster AI! Go! Go!

We are covering one of my favorite subjects this week: Artificial Intelligence! My guest is Nick Romano, Co-Founder & CEO of Deeplite AI. We investigate their new Deeplite Runtime which makes AI models smaller and faster in production deployment, why smart manufacturing is a great application for Deeplite AI, and why ultra-compact quantization is key to making AI smarter, faster, and smaller than ever before. Also this week, I examine "Raw Zero-Shot" – a new AI learning method developed by a team of researchers at Kyushu University that has potential to make AI more robust and reliable in the future.