Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of ...

Overall, the application of the Variational Autoencoder not only enhances the analytical capabilities of quantum simulations but also offers new perspectives for understanding the physical properties ...

A research team has studied the development of the Shanghai Typhoon Model from a traditional physics-based regional model ...

Discover the fascinating world of physics and engineering with our step-by-step guide on "How to Make a Pendulum Machine." ...

In the rapid development of quantum computing and sensor technology, accurately simulating the behavior of atomic-level materials is particularly important. However, traditional simulation methods ...

With artificial intelligence ever more ubiquitous, some worry about it going rogue and achieving what’s known as singularity: ...

Explore the fascinating world of perpetual motion through a deep dive into magnet motors. This video unveils the science and theories behind building a perpetual motion machine and magnet motor, ...

A new machine learning tool can reduce errors in national flood prediction programming, resulting in more accurate ...

Flexible composites-based piezoelectric nanogenerator (PENG) with low cost, stable properties and sensitivity to mechanical ...

David Silver of Google DeepMind thinks AIs that ‘learn by experience’ are the future of AI – but maybe not in particle ...