By combining physics-based methods with machine learning, a team at the Institute of Thermodynamics and Sustainable ...

By combining physics-based methods with machine learning, a team at the Institute of Thermodynamics and Sustainable Propulsion Systems at TU Graz is ...

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 ...

Using computer simulation and machine learning, researchers have taken an important step towards understanding and handling ...

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, ...

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: ...

The weather world is awash in a sea of raw data for both the past and present, so it makes sense that AI would earn a place ...

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

An international team of researchers has identified a quantum counterpart to Bayes’ rule. The likelihood you assign to an ...