The promise of physical AI is that engineers will be able to program physical agents the same way they do digital ones. We’re ...

For the last 80 years, the theory of quantum electrodynamics (QED), which describes all electromagnetic interactions, has ...

Scientists from Skoltech and the University of Potsdam have developed a physical theory that sheds light on how molecular ...

Since it kicked off in the middle of the last century, the field has sought to recreate the physical processes of the human ...

A photon enters an extraordinarily intense laser field. When it exits, its polarization has rotated, as though empty space ...

Investigators led by Northwestern Medicine scientists have identified mutations in a gene coding for a key ion channel in the ...

In the first ever Q4Bio Challenge, research teams sought to demonstrate scalable quantum algorithms for healthcare, with Algorithmiq's work alongside Cleveland Clinic and IBM earning $2 million Q4Bio ...

How do you stop robotic traffic jams? Researchers found that adding "noise" or randomness to robot paths optimizes swarm efficiency, proving that swarms don't need central AI to avoid gridlock.

In crowded environments, more robots don’t always mean faster results—in fact, too many can bring everything to a standstill.

A team of physicists has designed quantum algorithms that can model one of the most elusive behaviors in nature: a photon flipping its polarization inside an extreme electromagnetic field. The work, ...

Imagine a swarm of robots rushing to complete an urgent job, such as cleaning up an oil spill or assembling complex machinery. At first, adding more ...