This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Machine learning reveals widespread integrity concerns in cancer studies, highlighting paper mill risks and why publishers must strengthen research oversight.

A Paris-based biotech/deeptech company developing rapid microbiology testing for industrial quality control. Its deployment ...

Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...

Hospitals want AI they can trust. And proof now matters more than promise. Almost 10 years ago, physician and data scientist ...

Researchers developed an AI model that guides material synthesis by predicting multiple viable production pathways.

Football’s biggest game is nearly here. Along with the matchup itself, the commercials are a huge draw and the halftime show ...

Explore the complexities of tauopathies and how new research could change their diagnosis and treatment approaches.

Strategic AI-driven QE can be the key to accelerating delivery, strengthening reliability and maintaining market velocity.

At a moment when the AI industry is obsessed with bigger models and higher scores, Professor Ganna Pogrebna opened the ...

Cambridge researchers have become the first to combine multiple image types—RGB (that mimics human vision), depth and ...

The NFL just completed the 10th season of the Next Gen Stats era that has transformed the way fans consume the game, how ...