Forbes contributors publish independent expert analyses and insights. I write about neuroscience and its intersection with technology. Jul 28, 2024, 03:10pm EDT When the whole is greater than the sum ...

Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...

CAMBRIDGE, MA – When water freezes, it transitions from a liquid phase to a solid phase, resulting in a drastic change in properties like density and volume. Phase transitions in water are so common ...

A Cornell research group led by Prof. Peter McMahon, applied and engineering physics,has successfully trained various physical systems to perform machine learning computations in the same way as a ...

2025 seems poised to be another tech-fuelled rollercoaster. The buzzy introduction of agentic AI alone is enough to keep any CTO's head spinning with its ability to make enterprise-specific decisions ...

Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning ...