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 ...

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

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

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.

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 ...

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

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

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

From structure confirmation to methodology improvements, making complex natural products has driven innovation in organic ...

Understanding your heart rate can be helpful to calibrate your perceived exertion, especially on easy and steady runs. This ...

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 ...