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"
Back in the day, when computers ran standalone and there was no such thing as networks, I used to be reasonably confident that I had at least a vague understanding as to what was going on. Silicon chips talked to other silicon chips and circuit boards talked to other circuit boards using electrical signals travelling over copper wires. If you wanted to send a message over longer … Read More → "Intelligently Transporting Electrical and Optical Signals"
Chas Gilmore joined the Heath Company in 1966 as a design engineer in the company’s Scientific Instruments group and worked at the Heath Company on and off for more than two decades, eventually becoming VP of product development, marketing, and sales. This article includes portions of an interview I conducted with Gilmore in October. It covers the heyday of pre-computer Heathkits in the 1960s and 1970s.
< … Read More → "The Rise and Fall of Heathkit – Part 2: The 1960s through the mid-1970s"
 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. |
