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 ...

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

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

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

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 ...

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

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 ...