ScienceDaily: Top Technology News

Collaboration between deep learning experts and microscopy experts leads to an significantly improved data-intensive light-field microscopy method by using AI and ground-truthing it with light-sheet microscopy. The result is the power of light-field microscopy available to biologists in near real time vs. days or weeks, AND the expansion of biologists' ability to use this microscopy for many things more things requiring the most detailed observation.

Machine learning software advances could help anesthesiologists optimize drug dose, potentially improving patient outcomes.

A team of environmental engineers, alerted by the unusual wealth of data published regularly by county health agencies throughout the pandemic, began researching new methods to describe what was happening on the ground in a way that does not require obtaining information on individuals' movements or contacts. A new model predicts where a disease will spread from an outbreak, in what patterns and how quickly.

Plants are unparalleled in their ability to capture carbon from the air, but this benefit is temporary. Researchers have proposed a more permanent, and even useful, fate for this captured carbon by turning plants into a valuable industrial material called silicon carbide (SiC). A new study from scientists quantifies this process with more detail than ever before.

Scientists adapt laser-induced graphene to make conductive patterns from standard photoresist material for consumer electronics and other applications.

The introduction of lithium-ion (Li-ion) batteries has revolutionized technology as a whole, leading to major advances in consumer goods across nearly all sectors. Battery-powered devices have become ubiquitous across the world. While the availability of technology is generally a good thing, the rapid growth has led directly to several key ethical and environmental issues surrounding the use of Li-ion batteries.

In spintronics, the magnetic moment of electrons is used to transfer and manipulate information. An ultra-compact 2D spin-logic circuitry could be built from 2D materials that can transport the spin information over long distances and provide strong spin-polarization of charge current. Experiments by physicists suggest that magnetic graphene can be the ultimate choice for these 2D spin-logic devices as it efficiently converts charge to spin current and can transfer this strong spin-polarization over long distances.