UC Santa Barbara computer scientist Daniel Lokshtanov is advancing fundamental understanding of computational efficiency through groundbreaking research on quasi-polynomial time algorithms, supported ...

Thinking Machines Lab challenges OpenAI’s scaling-first approach to artificial intelligence, arguing that true ...

Google scientists say they have taken a major step toward solving one of the hardest problems in computing. Their latest experiment, they argue, provides the most ...

A new quantum computing protocol may be able to augment a standard technique for understanding molecules in chemistry, ...

The new program is validated in a set of clinical pedigrees demonstrating its practical accuracy and relevance to the field. Collectively, the data are compelling and support the major conclusions of ...

The partnership structure, while involving Indian firms, still concentrates ultimate control in Google's hands. India must ...

Abstract: The goal of multi-object tracking (MOT) is to estimate the location of objects and maintain their identities consistently to yield their individual trajectories. It has become a trend to ...

Abstract: To address issues such as noise, intra-class and inter- class imbalance, and data redundancy in existing methods for handling imbalanced datasets, we ...

RIDOT’s new weight monitoring system, described as a “heart monitor for a bridge,” is providing real-time data showing the Washington Bridge remains stable as it carries traffic in both directions.