Spatial transcriptomics can reveal where thousands of genes are active across a tissue, creating molecular maps at single-cell resolution. But comparing two such maps is difficult: thin slices of ...

Medical imaging has long faced a stubborn trade-off: the filters and algorithms that clean noise out of a computed tomography ...

Image segmentation is one of those deceptively simple tasks that quietly underpins much of modern computer vision. Before a self-driving car can recognize a pedestrian, before a radiologist’s AI a ...

Linear programming (LP) is a mathematical optimization technique used to maximize or minimize a linear objective function subject to a set of linear constraints. The Simplex Method, developed by ...

A quantum chemistry algorithm designed for fault-tolerant quantum hardware has been run entirely on a standard commodity server — no quantum computer, no supercomputing cluster — and has produced ...

Dr. James McCaffrey of Microsoft Research uses full code samples to detail an evolutionary algorithm technique that apparently hasn't been published before. The goal of a combinatorial optimization ...

AI-powered algorithm can analyze video recordings of clinical sleep tests and more accurately diagnose REM sleep behavior disorder. A Mount Sinai-led team of researchers has enhanced an artificial ...

Since the very first days of computer science — a field known for its methodical approach to problem-solving — randomness has played an important role. The first program to run on the world’s first ...

A quantum-resistant cryptography algorithm that was under consideration as an official US standard has been taken out of the running after an Anthropic security model helped find a flaw that rendered ...

A data-driven method can turn the administrative chore of matching dissertation students with the right supervisor into an educational opportunity. Ana Santos explains how it works How do you pair ...