Engineering AI startup PhysicsX secures $300M in fresh funding, reaching a $2.4B valuation as it scales simulation technology ...

Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining a deeper understanding of element formation in stellar events such as ...

Scientists found that transfer learning can make the search for new physics in the universe much faster, slashing the need ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...

In a study published earlier this month in the Journal of Cosmology and Astroparticle Physics, cosmologists trained an AI ...

Running a single physics simulation can take hours or days, depending on the complexity of the geometry and the equations involved. For engineers iterating through hundreds of design variations, that ...

Some of the universe’s heaviest elements are born in chaos, in matter flung outward when neutron stars collide or massive ...

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic rays—particles arriving at high speed from outer space. Anderson built an improved ...

Design engineering is running headfirst into a materials bottleneck. Industries such as automotive, aerospace, electronics, and semiconductors now depend on increasingly complex materials. Yet ...

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 ...

Cooler Master, a global leader in thermal solutions, and Spingence, a premier Taiwanese AI architecture developer, jointly ...