I once worked for a large computer manufacturer that considered itself to be a “big cheese” in its headquarters’ hometown. For some reason, the folks who donned the undergarments of authority and strode the corridors of power decided to have a blitz on the local media channels — including newspapers, radio, and television — to remind the hoi polloi as to who we were and what we did. … Read More → "Want to Learn AI? But Where to Go?"
Every now and then, someone comes up with an idea that makes me think, “Wow, that’s a great concept, why didn’t I think of that?” This was the case a couple of years ago when I was introduced to Jason Pecor from Alorium Technology. In turn, … Read More → "FPGA-Based Arduino Clones on Steroids"
“Testing leads to failure, and failure leads to understanding.” – Burt Rutan
In this week’s podcast, we’re talking about testing, testing, and even more testing! We start things off with an investigation into a new microneedle patch developed at Rice University that is hoping to make testing for malaria easier and faster than ever before. Also this week, Geir Eide ( … Read More → "What is the Meaning of Test?"
I think it’s fair to say that the majority of my friends in Embedded Space (where no one can hear you scream) tend to live on the microcontroller (MCU) side of the fence. To put this another way, relatively few of my chums don their “I’m an FPGA Designer” T-Shirts before heading off to work in the morning.
A few years ago as I pen … Read More → "Eeek Alors! Radiation Hardened eFPGA IP"
Industrial facilities are jam-packed with expensive machines of all shapes and sizes. If something goes pear-shaped with one of these little scamps, it can bring a production line to its metaphorical knees. Fortunately, the folks at MathWorks have the 21st century equivalent of a crystal ball that can help predict when the machines might fail.
I love the smell of … Read More → "Digital Twins Promote Predictive Maintenance"
I just heard from those clever chaps and chapesses at Algolux, who tell me they are using an evolutionary algorithm approach in their Atlas Camera Optimization Suite, which — they say — is the industry’s first set of machine-learning tools and workflows that can automatically optimize camera architectures intended for computer vision applications.