A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall.

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...

Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both ...

Using a deep learning AI model, researchers identified the first-of-its-kind biomarker of chronic stress detectable through routine imaging, according to research being presented next week at the ...

A research team led by Dr. Jinung An of the Division of Intelligent Robotics at DGIST has developed a new AI foundation model ...

A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

For most enterprises, Devstral Small 2 will serve either as a low-friction way to prototype—or as a pragmatic bridge until ...

Pabitra Saikia is a Global Agile Program Management leader who currently serves as VP, Senior Change Delivery Lead at Truist Bank. Every enterprise today is, in essence, a technology organization. The ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...