Documentation is one of those things that people love or loathe. The people who create it typically loathe doing so. The people who use it can go either way depending on how well it’s written.
I was talking to a friend just a few minutes before I commenced this column. We will call my friend Joe (because that’s his name). Joe … Read More → "AI-Powered Documentation Generator and Understander"
Chas Gilmore joined the Heath Company in 1966 as a design engineer in the company’s Scientific Instruments group. By 1976, he was director of engineering for Heath’s technical products, which included amateur radio, instrumentation, marine, automotive, and weather products. This article, Part 4 of a series based on an interview with Gilmore, discusses the Heath Company’s changes after its acquisition by Zenith and then subsequently by France’ … Read More → "The Rise and Fall of Heathkit – Part 4: The Demise of Heathkit"
Our Fish Fry podcast will be on hiatus for the rest of November. Please enjoy the 600th episode with material sciences and battery technology expert Dr. Bor Jang!
The 600th episode of Amelia’s Weekly Fish Fry podcast has arrived! My special guest is material sciences and battery technology expert Dr. Bor Jang (Solidion). </ … Read More → "Fish Fry 600: The Future of EV Battery Technology Innovation with Dr. Bor Jang"
Earlier this year, I penned a couple of columns under the umbrella title “Mind-Boggling Neuromorphic Brain Chips.” One of the first comments I received concerning these columns was short, sharp, and sweet, simply reading, “Also, Brain-Boggling.”
Arrrggghhh. How did I miss that? How could I not have used “Brain-Boggling Neuromorphic Brain Chips”? There was much gnashing of teeth and rending of garb that … Read More → "Taking the Size and Power of Extreme Edge AI/ML to the Extreme Minimum"
Chas Gilmore joined the Heath Company in 1966 as a design engineer in the company’s Scientific Instruments group. By 1976, he was director of engineering for Heath’s technical products, which included amateur radio, instrumentation, marine, automotive, and weather products. This article, Part 3 of a series, includes portions of an interview I conducted with Gilmore in October. This article picks up Gilmore’s narrative starting in 1976 and includes … Read More → "The Rise and Fall of Heathkit – Part 3: The Microcomputer Kit Era"
My guest this week is Adam Tilton, co-founder and CEO of Driver! Adam and I discuss how Driver’s new AI-powered platform can help you navigate code, organize your assets and sync codebases with ease. We also investigate the benefits of automated updates, unified search and language specialization included in their platform and the role that reusable templates play in Driver’s AI-powered platform.
… Read More → "Never Out of Sync Again – How Driver uses AI to Instantly Decode Technology"
 Quantized Neural Networks for FPGA InferenceSponsored by Intel Implementing a low precision network in FPGA hardware for efficient inferencing provides numerous advantages when it comes to meeting demanding specifications. The increased flexibility allows optimization of throughput, overall power consumption, resource usage, device size, TOPs/watt, and deterministic latency. These are important benefits where scaling and efficiency are inherent requirements of the application. |
