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 ...

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 UTSA study exposes how AI coding assistants can hallucinate fake software packages—creating an easy gateway for hackers to hijack your code with a single, trusted command.

AI-powered Internet of Medical Things (IoMT) devices enable early disease detection, real-time monitoring, and personalised treatment, transforming patient care and healthcare systems. A new global ...

Generative AI development is driving significant environmental degradation and social inequities, urging immediate action to adopt sustainable practices and ethical governance.

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 ...

DeepSeek researchers unveil DeepSeek-V3, a 671B parameter open-source language model with state-of-the-art performance, achieved through innovative architectures and cost-effective training. This ...

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 ...

Research introduces an explainable AI model that predicts ICU length of stay with 90% accuracy while providing evidence-based insights for informed decision-making. This innovative approach aims to ...

Researchers from Jülich have developed a robust new memristor that mimics brain-like learning and memory. Its novel switching mechanism could overcome the “catastrophic forgetting” problem in neural ...

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.