Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Stanford Medicine researchers have developed an artificial intelligence tool to help scientists better plan gene-editing ...

Paper manufacturing is very energy-intensive, but there is great potential for improving energy efficiency. In a ...

We develop cutting-edge software and AI solutions for small molecule design, optimization and data analysis. Our mission is ...

Small modular nuclear reactors (SMRs) are getting more political support in Europe and are likely to benefit from a planned ...

The medical device industry stands at the convergence of innovative design and stringent regulatory requirements, where design quality engineering serves as the critical bridge between conceptual ...

A new trial assessing the ability of COYA 302 to slow the progression of ALS will enroll up to 120 patients at sites in the U ...

Located 700 meters underground in Kaiping, Jiangmen city in Guangdong province, JUNO is the first of a new generation of ultra-large and ultra-precision neutrino experiments to reach this stage and ...

Olivier Godement, the head of product for OpenAI's developer platform, said companies should secure top-down buy-in when ...

Researchers from the Istituto Italiano di Tecnologia (IIT) in Genoa (Italy) and Brown University in Providence (U.S.) have ...

With support from EDB and A*Star, Japanese biopharma leader Chugai is using its research base in Singapore to create new ...