She has high LDL cholesterol. Does she really need a statin? This case challenges the algorithm, exposes hidden trade-offs, and shows what real precision medicine looks like.

Every organism you have ever seen, every ecosystem you have ever walked through, is the ongoing output of an algorithm that ...

Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. Khadija Khartit is a strategy, investment, and funding expert, and ...

Yet an AI detector that is mostly reliable might in some ways be more dangerous than a broken one. While Pangram is accumulating the power to end reputations and careers, the tool does make mistakes, ...

Thomas J Catalano is a CFP and Registered Investment Adviser with the state of South Carolina, where he launched his own financial advisory firm in 2018. Thomas' experience gives him expertise in a ...

Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent ...

P vs. NP asks: are these two classes actually the same? If P = NP, then every “hard” problem is secretly fast to solve; we ...

DC arc fault detection is undergoing a transformation thanks to edge AI, helping power systems spot dangerous faults faster, locally, and before they cause costly failures.

Socioeconomic, racial, and institutional factors significantly affect treatment access and patient outcomes in Guillain-Barré syndrome, despite standardized care guidelines in the US. Objectives: ...

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference between ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...