Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...
Progress will come from systems that can combine language understanding with explicit spatial and structural reasoning.
A research team led by Prof. Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has ...
Order doesn’t always form perfectly—and those imperfections can be surprisingly powerful. In materials like liquid crystals, ...
A flexible electronic skin stacks carbon nanotube layers to sense touch position and pressure simultaneously, performing classification through its physical structure rather than external processors.
Researchers at Chungnam National University have developed a deep learning method that predicts stable defect configurations in nematic liquid crystals in milliseconds rather than hours. This rapid ...
Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...
Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry transitions into an ordered ...
A new IAEA research project will investigate how artificial intelligence can be used to strengthen non-destructive testing techniques used in disaster response. The project aims to enable faster, ...
Scientists have developed an AI system that can rapidly predict complex defect patterns in liquid crystals, cutting simulation times from hours to milliseconds. The approach could transform how ...
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