ScienceDaily: Computers & Math News

Researchers used artificial intelligence (AI) and evolutionary analysis to produce 3D models of eukaryotic protein interactions. The study identified more than 100 probable protein complexes for the first time and provided structural models for more than 700 previously uncharacterized ones. Insights into the ways pairs or groups of proteins fit together to carry out cellular processes could lead to a wealth of new drug targets.

Imagine your car starting the moment you get in because it recognizes the jacket you're wearing. Consider the value of a hospital gown that continuously measures and transmits a patient's vital signs. These are just two applications made possible by a new 'body area network'-enabling fabric.

Using a new model of brain activity, computational neuroscientists are exploring striking bursts of activity in the human brain that have not been examined before. These bursts may have potential to serve as biomarkers for brain disease and conditions such as depression, schizophrenia, dementia, and ADHD.

Human behavior drives the evolution of biological organisms in ways that can profoundly adversely impact human welfare. Understanding people's incentives when they do so is essential to identify policies and other strategies to improve evolutionary outcomes. In a new study, researchers bring the tools of economics and game theory to evolution management.

Turbulence makes many people uneasy or downright queasy. And it's given researchers a headache, too. Mathematicians have been trying for a century or more to understand the turbulence that arises when a flow interacts with a boundary, but a formulation has proven elusive.

Researchers have created lightning-fast computer software that can help nations track and analyze pandemics, like the one caused by COVID-19, before they spread like wildfire around the globe.

Researchers have used a nanoantenna to focus light onto a single semiconductor nanobox. This approach will enhance the utility of quantum repeater technology currently under development for advanced communication and data storage. Such technology is essential to overcoming the limitations of classical computer information for securely sharing information over long distances.

Computer scientists have discovered an inexpensive way for tech companies to implement a rigorous form of personal data privacy when using or sharing large databases for machine learning.

Researchers have trained computers to predict the next designer drugs before they are even on the market, technology that could save lives. Identifying these so-called 'legal highs' within seized pills or powders can take months, during which time thousands of people may have already used a new designer drug. But new research is already helping law enforcement agencies around the world to cut identification time down from months to days, crucial in the race to identify and regulate new versions of dangerous psychoactive drugs.

A new technique opens a possibility to replace silicon with 2D materials in semiconducting technology.