In recent years, researchers have proposed a wide variety of hardware implementations for feed-forward artificial neural networks. These implementations include three key components: a dot-product engine that can compute convolution and fully-connected layer operations, memory elements to store intermediate inter and intra-layer results, and other components that can compute non-linear activation functions.
* This article was originally published here
Saturday 22 June 2019
Discovery of a 'holy grail' with the invention of universal computer memory
A new type of computer memory which could solve the digital technology energy crisis has been invented and patented by scientists from Lancaster University in the UK.
* This article was originally published here
* This article was originally published here
Researchers find new mutation in the leptin gene
The global obesity epidemic is so far-reaching it now has an overarching name: globesity. Texas Biomed Staff Scientist Raul Bastarrachea, M.D., is part of a team that discovered a new mutation in the gene that regulates the key hormone suppressing hunger called leptin. This new mutation could help researchers understand why people develop excess of body fat. Dr. Bastarrachea's research is aimed at helping tackle metabolic disorders like cardiovascular disease and diabetes which are fueled by obesity and impact millions of people around the world.
* This article was originally published here
* This article was originally published here
Engineers 3-D print flexible mesh for ankle and knee braces
Hearing aids, dental crowns, and limb prosthetics are some of the medical devices that can now be digitally designed and customized for individual patients, thanks to 3-D printing. However, these devices are typically designed to replace or support bones and other rigid parts of the body, and are often printed from solid, relatively inflexible material.
* This article was originally published here
* This article was originally published here
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