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

Several of the researchers I spoke with while reporting this article told me about memorization research that has been ...

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

Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

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 ...

By studying large language models as if they were living things instead of computer programs, scientists are discovering some ...

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.

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

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 ...

Learn how business logic serves as the framework of rules and algorithms, enabling smooth data flow between databases and ...

Generative AI is infiltrating everything you do online, including how you find information. If you're bored with traditional search, check out the top AI search engines we've tried. I’ve been writing ...

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