Recently, the Singapore-based global AI unicorn Deep Intelligent Pharma (DIP) announced the completion of a new ...

One morning in May 2019, a cardiac surgeon stepped into the operating room at Boston Children’s Hospital more prepared than ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of ...

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and ...

TU Delft explain why multi-disciplinary approaches are key to creating safer, eco-friendly, and resilient buildings that ...

Generalist Biological AI Models Decode the Language of Life Biology has always been an information science at heart. DNA stores ...

The field of viticulture faces mounting challenges from abiotic stresses exacerbated by climate change, such as drought, heat extremes, and soil ...

In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term ...

Hydrological models represent water movement in natural systems, and they are important for water resource planning and ...

At GTC 2026, Jensen Huang, Aravind Srinivas, Harrison Chase, Mira Murati, and Michael Truell made a compelling case that the ...

Mistral Forge gives enterprises a way to train and adapt AI models on proprietary data, with more control over deployment, ...

New platform enables organizations to train AI models on proprietary data, but analysts say adoption may be limited in the ...