Have a problem with many competing variables? Why not solve it with a computer algorithm based on cooling metal? Hosted by: ...

We use algorithms every day for things like image searches, predictive text, and securing sensitive data. Algorithms show up ...

When X's engineering team published the code that powers the platform's "for you" algorithm last month, Elon Musk said the ...

Quantum computing technology is complex, getting off the ground and maturing. There is promise of things to come. potentially changing the computing paradigm.

The Northwestern CS Theory Group and Toyota Technological Institute at Chicago co-hosted the Junior Theorists Workshop held ...

Researchers from the University of Waterloo's Faculty of Science and the Institute for Quantum Computing (IQC) are prioritizing collaboration over competition to advance quantum computer development ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and brand-new LLM-based hybrids, revealing that hybrids give best-in-class routes ...

Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting state-of-the-art local solvers for k-quasi-clique and k-plex without altering their search ...

When given a target functionality, usually a particular pattern of heat conductivity, this algorithm can slowly hone in on the best possible design. The researchers refer to this as "inverse design," ...

Researchers at Academia Sinica have developed a 20-qubit superconducting quantum computer, marking Taiwan’s entry ...

Discover the key differences between Data Science, Data Engineering, and AI. Learn about their unique roles, technical ...