Category Archives: Machine Learning

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.

 

 

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.
 
 

AI to Save the Day: Athinia Uses Artificial Intelligence and Big Data to Help Solve Semiconductor Challenges

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.

The Rise of Smart Machines: How MicroAI is Accelerating the Development of Machines that Self Diagnose

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. 

 

Adventures in Brain Computer Interfaces: How AE Studio is Advancing Innovation in the World of BCI

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.

 

Lift Every Voice: How Sensory is Using AI to Pave the Way for Better Voice Technology

Do you hear what I hear? I hear some fish fryin’! In this week’s podcast, Todd Mozer (Chairman & CEO of Sensory) joins us to discuss the future of voice control and speech recognition in electronic design. We discuss Sensory’s new cloud-based voice and vision AI service called sensoryCloud.ai, how this new service allows companies to have full AI deployments and the data generated from them, the details of their speech recognition solutions aimed at children’s voices, and where Todd thinks voice control in automotive designs are headed in the future. Also this week, I take a closer look at what really happens in the brain when hearing becomes listening and how new research from the University of Basel may have unlocked the key to solving this age-old question.

The Most Important Compute Workloads of a Generation: How Cerebras Systems is Accelerating AI’s Potential

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. 

 

The Fantastic Road Forward: The Future of 3D IC Design and the Discovery of Self-Replicating Living Robots

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.

 

Superhuman Code, Semantic Analyzers and Automated Debugging: How Machine Programming Will Change the Future of Electronic Engineering

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.
 
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