ScienceDaily: Computers & Math News

For decades, field-effect transistors enabled by silicon-based semiconductors have powered the electronics revolution. But in recent years, manufacturers have come up against hard physical limits to further size reductions and efficiency gains of silicon chips. That has scientists and engineers looking for alternatives to conventional metal-oxide semiconductor (CMOS) transistors.

A research group has explored the potential production of micro-scale organic electronics for use in bioelectronics via multiphoton 3-D printers.

Communication networks need nodes at which information is processed or rerouted. Physicists have now developed a network node for quantum communication networks that can store single photons in a vapor cell and pass them on later.

Automation in disease diagnosis is reliant on deep learning models that can accurately and efficiently identify measurements of tumors, tissue volume, or other sorts of abnormalities. Now, researchers have unveiled a new, resource-light model capable of identifying many common eye diseases.

Researchers created a special ultrathin sensor, spun from gold, that can be attached directly to the skin without irritation or discomfort. The sensor can measure different biomarkers or substances to perform on-body chemical analysis. It works using a technique called Raman spectroscopy, where laser light aimed at the sensor is changed slightly depending on whatever chemicals are present on the skin at that point. The sensor can be finely tuned to be extremely sensitive, and is robust enough for practical use.

Researchers have developed a mathematical model of motor learning that reflects the motor learning process in the human brain. Their findings suggest that motor exploration -- that is, increased variability in movements -- is important when learning a new task. These results may lead to improved motor rehabilitation in patients after injury or disease.