PhysicsX is building its latest pre-trained deep physics model for aerodynamics on high-fidelity simulation data generated ...

The automation workforce revolution has highlighted three distinct new automation-related careers that are responding to ...

Cognata's generative AI transfer technology, enabled by AMD Radeon PRO V710 GPUs, enhances the RGB camera simulation platform ...

MIT research uncovers boiling's potential, driving advances in energy, cooling, and safety, with applications from power plants to space propulsion.

Vertical farms, woke AI, and 23andMe made our annual list of failed tech. Rapid advances in applying artificial intelligence ...

Compared to quantum computers based on quantum annealing ... unlocking greater potential in fields such as chemistry, physics, and machine learning. MicroAlgo's hybrid algorithm is not only a major ...

In general, a machine-learning model of a material can be developed to provide predictive capabilities where traditional, ...

Adding pallet systems brought Mach Machine success and additional productivity. The shop has since furthered its automation goals while adding new capabilities.

Given the drift of AI development in 2024, and public concern about catastrophic risks, developers may soon embrace a more ...

Digital twins are also leveraged during real-time operations. Instead of the model being fed with simulated data, real-time ...

Miller contributed his neutron star merger simulations to The Well, one of the two datasets released by Polymathic AI. This dataset includes numerical simulations of complex phenomena, such as ...

Scientists at MIT are developing an artificial intelligence (AI) tool that generates realistic satellite images to illustrate ...