Machine Learning
Subscribe Now

The Dividends of Persistence: Intel’s Optane Memory and Advances in DNA Storage

“The world is one big data problem.” – by Andrew McAfee, co-director of the MIT Initiative on the Digital Economy

In this week’s Fish Fry podcast, we investigate Intel’s Optane™ persistent memory and how this new innovative memory can help make actionable insights more approachable and make your next data-centric design a whole lot easier. We also take a closer look at … Read More → "The Dividends of Persistence: Intel’s Optane Memory and Advances in DNA Storage"

Hearing is Believing: Artificial Intelligence, Cough Patterns, and Stemming the Tide of COVID-19

One person’s data is another person’s noise.” – K.C. Cole

This week’s Fish Fry podcast is all about noisy neurons, cough signature identification, and how AI can help us stem the tide of COVID-19. First up, we check out new research from the German Center for Neurodegenerative Diseases that may have finally unlocked the mysteries of memory retention in people … Read More → "Hearing is Believing: Artificial Intelligence, Cough Patterns, and Stemming the Tide of COVID-19"

Endpoint AI FPGA Acceleration for the Masses

Let’s face it. Just about anybody can throw a few billion transistors onto a custom 7nm chip, crank up the coulombs, apply data center cooling, put together an engineering team with a few hundred folks including world expert data scientists, digital architecture experts, software savants, and networking gurus, and come up with a pretty decent AI inference engine. There’s nothing to it, really. </ … Read More → "Endpoint AI FPGA Acceleration for the Masses"

Tenstorrent Takes AI by Storm

“Nothing matters very much, and few things matter at all.” — Arthur Balfour

One thing that all machine learning developers agree upon: ML requires lots and lots of data. New ML processors have dozens – sometimes hundreds – of processor cores, huge caches, wide buses, and enormous appetites for bandwidth. The secret of ML is not that it’s so radically … Read More → "Tenstorrent Takes AI by Storm"

July 7, 2020
July 1, 2020
June 30, 2020
June 19, 2020
June 16, 2020
May 28, 2020
May 27, 2020
May 22, 2020
May 18, 2020
May 15, 2020
May 12, 2020
May 6, 2020
April 24, 2020
April 21, 2020
April 15, 2020
April 13, 2020
April 9, 2020
April 7, 2020
April 3, 2020
April 1, 2020
March 26, 2020
March 25, 2020
March 24, 2020
March 18, 2020
featured blogs
Jul 9, 2020
I just read '€œEmpty World'€ by John Christopher, and I'€™m sure you will be as amazed as I to discover that this book has a hint of a sniff of the post-apocalyptic about it....
Jul 9, 2020
It happens all the time. We'€™re online with a designer and we'€™re looking at a connector in our picture search. He says '€œI need a connector that looks just like this one, but '€¦'€ and then he goes on to explain something he needs that'€™s unique to his desig...
Jul 3, 2020
[From the last episode: We looked at CNNs for vision as well as other neural networks for other applications.] We'€™re going to take a quick detour into math today. For those of you that have done advanced math, this may be a review, or it might even seem to be talking down...
chalk talks
Benefits of FPGAs & eFPGA IP in Futureproofing Compute Acceleration   In the quest to accelerate and optimize today’s computing challenges such as AI inference, our system designs have to be flexible above all else. At the confluence of speed and flexibility are today’s new FPGAs and e-FPGA IP. In this episode of Chalk Talk, Amelia Dalton chats with Mike Fitton from Achronix about … Read More → "Benefits of FPGAs & eFPGA IP in Futureproofing Compute Acceleration"
Smart Embedded Vision with PolarFire FPGAs — Microchip and Mouser Electronics   In embedded vision applications, doing AI inference at the edge is often required in order to meet performance and latency demands. But, AI inference requires massive computing power, which can exceed our overall power budget. In this episode of Chalk Talk, Amelia Dalton talks to Avery Williams of Microchip about using FPGAs to … Read More → "Smart Embedded Vision with PolarFire FPGAs — Microchip and Mouser Electronics"
Introducing Google Coral — Google and Mouser Electronics   AI inference at the edge is exploding right now. Numerous designs that can’t use cloud processing for AI tasks need high-performance, low-power AI acceleration right in their embedded designs. Wouldn’t it be cool if those designs could have their own little Google TPU? In this episode of Chalk Talk, Amelia Dalton chats with … Read More → "Introducing Google Coral — Google and Mouser Electronics"
Hello FPGA — Microchip and Mouser Electronics   Getting started on an FPGA-based embedded vision project can be tricky. Locating all the components you need, getting them to talk to each other, and just getting your system to the video equivalent of “Hello World” is a pretty daunting task. In this episode of Chalk Talk, Amelia Dalton chats with Avery Williams … Read More → "Hello FPGA — Microchip and Mouser Electronics"
Addressing Digital Implementation Challenges with Innovative Machine Learning TechniquesMachine learning is revolutionizing our designs these days with impressive new capabilities. But, have you considered using machine learning to actually create better designs? In this episode of Chalk Talk, Amelia Dalton chats with Rod Metcalf of Cadence Design Systems about how Cadence is using machine learning to help us get more out of our … Read More → "Addressing Digital Implementation Challenges with Innovative Machine Learning Techniques"
Machine Learning at the Edge — NXP and Mouser Electronics  AI and neural networks are part of almost every new system design these days. But, most system designers are just coming to grips with the implications of designing AI into their systems. In this episode of Chalk Talk, Amelia Dalton chats with Anthony Huereca of NXP about the ins and outs of machine learning … Read More → "Machine Learning at the Edge — NXP and Mouser Electronics"