An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover ...

Twisted graphene heterostructures detect temperature with 99% accuracy, reduce thermal image errors by 46%, and execute logic ...

For Gabriel Petersson, the path to becoming a research scientist at OpenAI didn’t start in a lecture hall but began with a ...

Using the AI, a young scientist Mohan Vamsi Nallapareddy and his team developed an AI tool, which can predict protein-production failures at the molecular level and such predictions could ...

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...

Multi-electrode arrays (MEAs) provide a noninvasive interface with sub-millisecond temporal resolution and long-term, ...

Depending on the underlying graph, you also need to handle cycles intelligently. In social networks, mutual relationships are ...

Shifting focus on a visual scene without moving our eyes—think driving, or reading a room for the reaction to your joke—is a ...

Critical illness poses a significant global health challenge, disproportionately affecting low- and middle-income countries ...