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 ...

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 ...

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.

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 ...

Human-AI interactions amplify biases, creating a feedback loop that escalates errors in perception, emotion, and social judgment over time.

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.

Researchers at Rensselaer Polytechnic Institute and City University of Hong Kong propose a novel AI framework inspired by 3D brain-like neural structures and recursive loops. This vertically ...

This perspective paper proposes a comprehensive, three-axis blueprint to integrate AI into water treatment at the technological, engineering, and industrial levels. By transforming rigid systems into ...

This article explores the integration of artificial intelligence (AI) into production planning, highlighting its applications across industries. Machine learning algorithms optimize processes, ...

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 ...

Researchers have developed Torque Clustering, a new AI algorithm that mimics natural intelligence, enabling unsupervised learning with unprecedented accuracy and efficiency.