Predicting material properties remains a major challenge in materials science, as it often requires complex and computationally intensive calculations. In particular, understanding how materials ...

Large language models have already transformed software engineering, for better or worse. Now, so-called large physics models are also starting to transform design engineering. These tools are ...

In practical terms, this means Hailuo handles the scenarios that cause many competing models to fall apart - liquid pouring ...

From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has succeeded by mastering one domain: text. However, this leaves a major blind spot ...

Over the past decade or so, foundation models have emerged as the dominant paradigm for interacting with language, images, and code. Large Language Models (LLMs) can generate text. Vision models can ...

By 2050, scientists estimate that antibiotic-resistant infections will be associated with more than 8 million deaths around ...

Scientists found that transfer learning can make the search for new physics in the universe much faster, slashing the need for expensive simulations. Yet the approach can backfire when AI relies too ...

During surgery to correct an abnormal heartbeat, doctors rely on a mix of imaging and inference. Still, many critical details remain hidden. At RIT, artificial intelligence (AI) researchers want to ...

$10M raised from investors including Antoine Arnault, Natalia Vodianova Arnault, and other industry veterans Targeting the global fashion market by transforming e-commerce experiences Modelled on ...

Japanese AI startup Sakana has launched Fugu, a new AI model family that the company says outperforms Anthropic's Claude ...

Schematic illustration of the physics-based AI framework. Starting from a crystal structure, the method separately predicts Born effective charges and phonon properties, which are then combined using ...