The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...

The performance of rechargeable batteries is governed by processes deep within their components. A fundamental understanding of electrochemistry, structure–property–performance relationships and the ...

Key TakeawaysDigital twins are ultra-accurate computer-based simulations of complex physical systems used for exploring "what ...

2026 will be a transformative year in this area — one where force fields redefine the boundaries of atomistic simulation, making previously unthinkable modeling and discoveries routine. With workflows ...

Chip giant unveils compute expansion with L&T, Yotta, and E2E Networks at India’s AI Impact Summit, paving the way for domestic heavyweights to build AI agents and physical AI applications ...

Overview Indian quantum computing companies are moving from academic research to enterprise adoption.IT leaders such as Tata Consultancy Services and startups l ...

The race to develop a virtual scientist—an AI creation that conducts every stage of research, from idea to publication—has ...

Thousands of years from now, what will remain of our digital era? The ever-growing vastness of human knowledge is no longer ...

As AI content pollutes the web, a new attack vector opens in the battleground for cultural consensus. Research led by a Korean search company argues that as AI-generated pages encroach into search ...

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

In biomedical modeling, the integration of mechanistic and data-driven approaches is reshaping how we interpret and predict complex biological phenomena.