Science

A new approach leverages Answer Set Programming to efficiently enumerate possible molecular structures from chemical formulas.

A new approach allows artificial intelligence to categorize images and objects even with limited training data and changing contexts.

A new framework, CattleAct, enhances the detection of nuanced cattle interactions by focusing on the relationship between individual actions and collective behavior.

A new prompting framework dramatically improves the reasoning efficiency of large language models, allowing smaller models to achieve performance comparable to their larger counterparts.

Researchers are developing AI that more realistically mimics how people visually focus on an object before physically reaching for it.

As generative AI tools rapidly enter higher education, understanding and classifying institutional policies becomes critical for responsible implementation.

Researchers have developed a new AI model that can simultaneously generate realistic videos of robotic manipulation and the precise actions needed to perform those tasks.

Researchers have developed a multi-agent system that combines the power of large language models with specialized tools to automatically solve complex partial differential equations.

A new framework enables robots to learn long-duration manipulation skills from just a single demonstration, paving the way for more adaptable and user-friendly robotic systems.

New research reveals that transformer models can develop abstract reasoning skills by learning symbolic strategies, even without explicit training on pre-defined concepts.