DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...

To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The Hong Kong Polytechnic University and New York University proposes a novel ...

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite visibility. This study presents a new positioning ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Researchers at National Taiwan University have developed an AI system that recognizes construction activities at both the ...

At CES, Qualcomm Technologies, Inc. introduced a next-generation robotics comprehensive-stack architecture that integrates hardware, software, and compound AI. Qualcomm Technologies also unveiled its ...

Terahertz (THz) radiation, which occupies the frequency band between microwaves and infrared light, is essential in many next ...

Quantum mechanics and relativity are the two pillars of modern physics. However, for over a century, their treatment of space ...

Temporal graphs serve as a powerful framework for representing networks whose connections evolve over time. By incorporating time‐stamped interactions, these models capture the dynamic nature of ...

This is an important study on the sensory roles of Cerebrospinal fluid-contacting neurons (CBF-cn) in mammals. The authors identify PKD2L1 as the predominant pH-sensing channel CBF-cn and show how the ...

In 1950, when computing was little more than automated arithmetic and simple logic, Alan Turing asked a question that still reverberates today: can machines think? It took remarkable imagination to ...