The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.

CpG density and epigenetic modification state modulate DNA mechanics, altering its intrinsic compatibility with nucleosome formation.

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

MATLAB could anchor the physical AI era, where simulation-first engineering and grounded generative AI turn physics into reliable, deployable intelligence.

Rochester, Minn.-based Mayo Clinic performs among the most virtually planned surgeries in the world through its development of 3D modeling. The ...

I-STEM proposes a National Software Statistics Portal to unlock idle research software and strengthen India’s research ...

The Electric solar wind Sail doctors (E-Sailors) is a challenge-based Doctoral Network that aims to bring Electric solar wind sail (E-sail) from low Earth orbit (LEO) demonstration missions to the ...

Even consciousness could reveal its secrets someday with this realistic simulation, researchers hope. It will not only ...

The simulation hypothesis—the idea that our universe might be an artificial construct running on some advanced alien computer ...

STARKVILLE, Miss.—Showcasing its groundbreaking work in autonomous vehicles, Mississippi State University hosted the 7th ...

The X-62 Variable Stability In-flight Simulator Test Aircraft will incorporate advanced radar and sensor integration to allow autonomy testing in more ...

Abstract: This paper presents a MATLAB/Simulink-based framework to co-simulate trajectory tracking for a dual-arm robot in the Robot Operating System (ROS) environment. Conventionally, a dual-arm ...