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

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

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...

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," ...

Peer review has met its match.

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 ...

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

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 ...

Opinion thrives on confidence. Evidence thrives on proof. This list brings together science-backed books that dismantle popular beliefs, challenge lazy thinking, and replace certainty with research.

"Welcome to the world of RDHNet, a groundbreaking approach to multi-agent reinforcement learning (MARL) introduced by Dongzi Wang and colleagues from the College of Computer Science at the National ...

Our online Bachelor of Science in Applied Computer Science Post-Baccalaureate degree is designed for working professionals with a prior bachelor’s degree who are looking to make a career pivot, move ...