With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

Tools such as CRISPR can edit genes with precision, but the process of determining which genes to target is costly and slow, ...

A research team has delivered an overview of how computational tools are reshaping the design of nonnatural metabolic pathways—engineered biochemical routes that do not exist in nature but enable ...

European digital assets platform Bitpanda released update that examines facts around "illicit crypto use" while also ...

Stellar Migrator for Exchange simplifies On-Premises and Tenant-to-Tenant migrations with a secure, PowerShell-free local ...

If you want to spoil a sailor's day, then a ship collision is the way to do it. That's why Texas A&M University has come up ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Ripples spreading across a calm lake after raindrops fall—and the way ripples from different drops overlap and travel outward ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...