Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds enterprise system prompt instructions into model weights, reducing inference ...

Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — ...

Andrew Ting MD is part of a new generation of clinician-researchers—doctors who respect the human side of therapy while ...

Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

March 9, 2026) - Camp Lucky Board and Train announced the successful completion of its recent three-week residential board and train program conducted in Greensboro, North Carolina. The program ...

An interdisciplinary research team from two working groups at the Center for Synthetic Biology at TU Darmstadt has developed ...

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

Adaptation is essential for survival. Across species, it occurs over many generations through evolution and natural selection ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially when considering challenges owing to climate change, urbanization, improper ...

April Health reports that the Collaborative Care Model effectively addresses the mental health gap in rural America by ...

According to the researchers, the ultimate goal is to build a comprehensive cyber threat intelligence ecosystem for artificial intelligence systems. Such a system would allow security tools to scan AI ...

New research was motivated by "high-potential societal impacts" of successfully disabling autonomous drones, a study author told Military.com.