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 at OIST have developed an embodied intelligence model that mimics how children learn to generalize by combining sensory inputs and language, offering insights into cognitive development ...

AI-generated images and videos significantly increase false memories, with AI-generated videos causing the strongest memory distortions. This raises concerns for legal, ethical, and societal impacts.

Artificial intelligence (AI), particularly machine learning, is revolutionizing financial risk management. It enhances productivity, efficiency, and cost reduction by analyzing vast amounts of ...

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 from Concordia University have launched the Abundant Intelligences program, aiming to decolonize artificial intelligence by incorporating Indigenous knowledge systems. This initiative ...

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

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 ...

Penn Engineers have unveiled the first programmable chip capable of training nonlinear neural networks using only light, revolutionizing photonic AI. This innovation promises rapid, energy-efficient ...

Researchers explored cutting-edge watermarking techniques for generative AI outputs, enhancing detection, transparency, and resilience against adversarial attacks to ensure trust and accountability in ...

Researchers found that people distrust artificial moral advisors (AMAs), particularly when they offer utilitarian advice, even if the advice is identical to that of human advisors.