Artificial intelligence has moved from crunching physics data in the background to actively proposing new theories and ...

Artificial intelligence (AI) jumped into the upper echelons of scientific achievement this week, winning as part of the Nobel prizes in physics and chemistry. The awards highlight the impact the ...

While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the ...

One of the key steps in developing new materials is property identification, which has long relied on massive amounts of experimental data and expensive equipment, limiting research efficiency. A ...

Unlike typical AI research, where a model predicts outcomes or cleans up data, researchers at Emory University in Atlanta did something unusual. They trained a neural network to discover new physics.

Physicists have used a machine-learning method to identify surprising new twists on the non-reciprocal forces governing a many-body system. The work is one of the relatively few instances of using AI ...

The partnership combines GPU-native physics simulation with cloud scalability, allowing engineers to run massive, high-fidelity simulations and generate the data needed to train Physics AI models.

In our world of AI-dominated algorithms, some nuclear physicists prefer to do science the old-fashioned way. And this newly developed physics-based, AI-free algorithm may be the breakthrough needed ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...