Complex physical systems span a broad range of phenomena wherein the collective dynamics cannot be simply inferred from the law governing individual components. These systems are intrinsically ...

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 ...

The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in research applications to explore potentially high-impact approaches in the development and use of ...

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 most of us ...

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

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 ...

Cambridge University scientists have demonstrated how placing physical constraints on an artificially intelligent system—in much the same way that the human brain has to develop and operate within ...

The 2021 Nobel prize for physics has been awarded to three researchers for two discoveries that together represent “groundbreaking contributions to our understanding of complex physical systems” such ...

Chandrakant D. Patel (NAE) is senior fellow and chief engineer and Savi Baveja is president of personalization & 3D printing and chief incubation officer, both at HP Inc. Cyber-physical systems are a ...

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 ...