Stop blaming "the algorithm" for bias; without a rigorous trust scoring framework, your AI is just a high-speed engine for ...

In an ambitious collaboration, researchers added 1.8 million high-confidence protein complex structure predictions to the ...

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

Researchers have used artificial intelligence to develop a new tool for assessing earthquake damage, a leap that could ultimately help first responders in making critical rescue decisions, suggests a ...

A powerful new real-world data platform could transform how scientists predict and understand Alzheimer's disease and ...

For the first time, researchers at Leipzig University have shown that tiny synthetic microswimmers can perceive their ...

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce ...

Creating a highly accurate geological model at a large scale presents a considerable challenge, primarily due to constraints imposed by sparse data availability. A promising strategy to mitigate these ...

We introduce VeriStruct, a novel framework that extends AI-assisted automated verification from single functions to more complex data structure modules in Verus. VeriStruct employs a planner module to ...

Thanks to computer numerical control (CNC) fabrication technologies, the method may also be applied to design-laminated timber gridshells. Credit: ©2025 Masaaki Miki and Toby Mitchell CC-BY-ND A new ...

Abstract: Class imbalance introduces bias into model learning and remains a persistent and fundamental challenge in machine learning. When class imbalance is coupled with complex data distribution ...