Amelia's Weekly Fish Fry

It’s a bird, it's a plane, it's the largest AI processor ever made!  In this week’s Fish Fry podcast, Andy Hock (Cerebras Systems) joins me to chat about the largest AI processor ever made -  the 7 nm wafer scale engine 2, the details of their brain-scale AI training, and how Cerebras Systems is democratizing access to high performance AI computation. Also this week, I check out a new kickstarter campaign called the SPORTSMATE 5: the world’s first and lightest portable wearable robotic exoskeleton that aims to alter the way we interact with the world by applying exoskeletons to daily life. 

 

This week's podcast is all about the future of 3D IC tools and methodologies and the newest advancement in xenobot research. Vinay Patwardhan (Cadence Design Systems) and I discuss the challenges engineers experience when designing 3D chips, where existing 3D-IC tools and methodologies fall short, and what type of analysis we need for a 3D stack system as opposed to a standard chip design. Also this week, I investigate how a group of researchers from the University of Vermont, Tufts University, and the Wyss Institute for Biologically Inspired Engineering at Harvard University have discovered a brand new form of biological reproduction and how they used this new discovery to create the world’s first self-replicating living robots.

 

What if we could improve engineering productivity by 1000% and decrease debugging by 50%? In this week’s podcast, we investigate how machine programming will help us do all of this and more! Justin Gottschlich (Principal AI Scientist & Director/Founder of Machine Programming Research at Intel Labs) joins me for a deep dive into the world of machine programming. We take a closer look at the development of this pioneering research initiative, the details of Intel’s open source machine programming research system (ControlFlag) and why Justin believes that automated debugging and performance extraction will unlock untold possibilities in the realm of software and hardware development.

 

In this week’s podcast, HanBin Lee (CEO - Seoul Robotics) and I chat about their innovative 3D perception software with deep learning, what sets it apart from other 3D computer vision software solutions on the market today, and the details of their plug-and-play LiDAR perception system called Voyage. Also this week, we take a closer look at a new research study coming out of the Imperial College London that suggests that variability between brain cells might speed up learning and improve the performance of the brain and future AI.

Artificial Intelligence reigns supreme in this week’s Fish Fry podcast! First up, we take a closer look at DeepMind’s new foray into rainfall prediction. We investigate how DeepMind's deep generative model of rain tool supports the advancement of precipitation nowcasting and how it compares to current methods of precipitation forecasting. Keeping with our AI theme this week, Pulin Desai (Cadence Design Systems) joins us to discuss the requirements for on-device AI today, what you need consider when developing an on-device AI system, and how Cadence is taking on on-device AI with its new Tensilica AI platform.  

 

In today’s Fish Fry podcast, Mike Davies (Intel) joins me to investigate the past, present, and future of neuromorphic computing. Mike and I discuss how neuromorphic computing will usher in a new age of artificial intelligence, the details of Intel’s Loihi 2 neuromorphic chip, and why Intel’s Lava open-source software framework is crucial to the success of this new neuromorphic computing revolution. 

 

In this week’s Fish Fry podcast, Nam Sung Kim (Senior Vice President of Samsung’s Memory Business Unit) joins me to discuss why he believes our computing architectures must evolve to meet the needs of artificial intelligence and machine learning applications and how breaking the traditional Von Neumann processor-memory boundary could be disruptive to both the hardware and software sides of our industry, and the details of Samsung’s new HBM Processing-In Memory. Also this week, I investigate a new brain-inspired memory device developed by the University of Singapore and why this new novel molecular memristor could represent a significant breakthrough in our quest to design low-energy computing. 

It’s Friday and we’re taking a deep dive into the world of artificial intelligence! Yonatan Geifman (Co-founder and CEO - Deci) joins me this week to discuss how we can use AI itself to craft the next generation of AI. We also chat about how developers can streamline artificial intelligence development and where AI is headed in the next couple years and decades to come. Also this week, I take a closer look at new research from an international group of researchers that aims to answer the question: What if photonics can help us better recognize patterns for machine learning?

 

Machine learning is once again taking center stage in this week’s Fish Fry podcast! Rod Metcalfe (Cadence Design Systems) joins me to discuss the role of machine learning in the future of chip design, why implementation teams are having a hard time keeping up with today’s advanced node designs, and how advancements in computer science are helping usher in a new age of intelligent chip design. I also take a closer look at how a team of researchers is using machine learning to help us more accurately predict how new materials deform, fail and even transfer heat at the atomic scale.

In today’s Fish Fry podcast, we have a virtual sundae of electronic engineering goodness. We've got a scoop of autonomous driving, a scoop of IIoT, a little Infineon secret sauce, and a whole lot of sprinkles… because what good is a sundae without sprinkles, right? First up, Phil Hutchinson (element14) joins me to discuss element14’s “Low Power IoT Design Challenge with Infineon Technology”. We take a closer look at the details of this contest including the motivations behind its creation and why collaboration is a crucial component with this design challenge. Next up, Bill Stewart (Infineon) joins me to chat about the role trusted electronics play in the realm of automotive design and what he thinks it will take to make autonomous vehicle technology more widespread.