In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

Sachdeva’s breakthrough challenges one of the most studied problems in computer science, known as maximum flow, which ...

Some teachers say school districts should view computer science not simply as a precursor to specific college degrees, but as ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

Explore the role of transcription factor biology in drug discovery and how it impacts our understanding of disease mechanisms ...

Imagine driving down a busy highway. You need to check your speed and navigation, but glancing down at the dashboard takes ...

BEIJING -- Chinese researchers have developed an innovative computational architecture that enhances computing power nearly fourfold, thereby opening new possibilities in fields like embodied ...

Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.The ...

Engineers at the University of California have developed a new data structure and compression technique that enables the ...

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

Earthquakes happen daily, sometimes with devastating consequences, yet predicting them remains out of reach. What scientists ...

Researchers from Skoltech have uncovered physical principles governing the remote "tuning" of nanocatalysts, where the ...