Researchers introduced the "Diagram of Thought" (DoT) framework, enhancing large language models' reasoning through a directed acyclic graph structure, enabling iterative improvement and logical ...

Researchers highlight the limitations of classical networks in capturing complex multi-agent interactions, proposing higher-order structures like simplicial complexes and hypergraphs to model ...

The surge in urban population and traffic challenges necessitate a paradigm shift in traffic flow optimization. Artificial Intelligence (AI) emerges as the transformative force, employing data-driven ...

Researchers benchmarked AI models using the Seshat Global History Databank and found significant gaps in their ability to understand and analyze expert-level historical knowledge.

The escalating frequency and severity of natural disasters worldwide have spurred interest in leveraging artificial intelligence (AI) for disaster management. AI enables predictive modeling, early ...

Researchers have developed an AI-powered monitoring system that links individual honeybee exposure to neonicotinoid pesticides with colony-wide health effects. Even low-level exposure was shown to ...

Cedars-Sinai is leading the way in AI-driven nursing innovation with Aiva Nurse Assistant, a mobile app that streamlines documentation through voice dictation. By reducing administrative burden, this ...

A new AI-driven program, VisionMD, lets doctors worldwide assess Parkinson’s symptoms with a smartphone video—no cloud, no coding, just fast, objective insights to guide treatment decisions like DBS ...

An AI model trained on nearly one million bacterial genomes can predict when and where antibiotic resistance genes are likely to spread between bacteria. The study shows resistance is most likely to ...

Researchers at Saarland University and the German Research Center for Artificial Intelligence have developed techniques to reduce AI energy consumption by up to 90%, making AI models smaller, more ...

Researchers in China have developed CLAP, a novel AI system that uses reinforcement learning to automate and enhance penetration testing for large-scale networks. It significantly reduces the steps ...

Researchers from the Chinese Academy of Sciences emphasize the urgent need to align AI data systems with the complex, multi-level nature of scientific data to improve AI performance and reliability.