Physical AI equips machines with the ability to perceive, learn, and act in the real world by integrating AI algorithms with ...

Shock waves should not be shocking—engineers across scientific fields need to be able to precisely predict how the instant ...

Linton first came to BYU as a mechanical engineering major, but discovered his love for biology after taking anatomy and ...

Ritesh Agarwal, Kamal Choudhary, Siddhartha Das, Karthik Duraisamy, Shambhu Ghimire, Padmini Rangamani, Aaswath P. Raman, ...

Materials scientists can learn a lot about a sample material by shooting lasers at it. With nonlinear optical microscopy — a ...

Flow Engineering has raised a $23 million Series A, led by Sequoia and including the Collisons, Fortune has exclusively ...

The honor recognizes “outstanding advances in physics through original research and publication, or significant innovative contributions in the application of physics to science and technology." ...

Nobel Prize in Physics is a tribute to the scientists who first discovered quantum behaviors in a macroscopic electrical ...

One of the key steps in developing new materials is property identification, which has long relied on massive amounts of ...

A powerful new software tool that can accurately predict the performance of biofilters used by the water industry could ...

AI growth and net-zero goals boost nuclear and low-carbon energy, but critical infrastructure faces rising physical, cyber, ...

This transcript was prepared by a transcription service. This version may not be in its final form and may be updated. Christopher Mims: Where were you, what were you doing when you realized that the ...