The travelling salesman problem (TSP) remains one of the most challenging NP‐hard problems in combinatorial optimisation, with significant implications for logistics, network design and route planning ...

Understanding a molecule that plays a key role in nitrogen fixing – a chemical process that enables life on Earth – has long ...

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Matching orders is the process by which a securities exchange pairs one or more ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

New research indicates that the structural organization of the human brain does not develop in a continuous, linear fashion ...

In silico antibody accessibility analysis indicates that ectodomain epitopes are transiently exposed, while MPER epitopes are virtually always occluded in the pre-fusion trimer.

At the start of 2026, Donald Trump should have the wind at his back as he sets out to assure America’s future.

Given the current state of practice and visions for the future (including AI), certain practices should be reevaluated. This ...

Thus was born Setun, the world’s first ternary computer—a machine that did not merely tweak binary logic but openly defied it ...

Everything you need to know about what’s happening in the Delaware Valley – from news and politics to science and the arts– delivered with a fresh perspective, all in an hour. January 9, 2026 • Tre ...