AI models trained on the mathematics of physical systems are accelerating engineering design by approximating complex simulations in seconds, offering significant speed gains over traditional solvers.

Unpacking how recent progress in scaling active inference is already demonstrating real improvements for distributed control ...

Lumai has announced what it describes as a major step forward in AI infrastructure: an optical computing system capable of running billion-parameter large language models in real time. The new system, ...

Lumai has successfully run billion-parameter large language models (LLMs) in real time using its optical computing system, called Lumai Iris. The company claims it is the first time an optical compute ...

Lumai Iris servers accelerate inference workloads using light instead of silicon-based processing. Lumai’s optical compute system enables faster inference, higher execution efficiency, and up to 90% ...

Harvard researchers built a swarm of simple ant-like robots (RAnts) that can collectively excavate and construct structures ...

Keeping tabs on blood sugar throughout the day used to be the exclusive domain of people with diabetes. But in 2026, anyone ...

Researchers at Kyushu University and Institute of Science Tokyo have developed a new computational model that can simulate the ...

To an AI system, it may look like a harmless creative writing exercise. But according to a new study, prompts like this can ...

When it comes to teamwork, we could all learn something from ants.These relatively simple, small-brained animals are famous for their ability to ...

Dr. Xianxin Guo, CEO and Co-Founder of Lumai, is a physicist and deep-tech entrepreneur specializing in optical computing and AI hardware, with a PhD in quantum physics and nonlinear optics from the ...