Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Israel’s recent campaign in Gaza marks a turning point in modern warfare: the fusion of counter-insurgency and artificial intelligence. Will Western states, with different traditions of ...

In total, 5,708 patients from five randomized phase III trials were included. Two MMAI algorithms were evaluated: (1) the distant metastasis (DM) MMAI model optimized to predict risk of DM, and (2) ...

Algorithmic trading is no longer the exclusive domain of niche quantitative firms—it has become the backbone of modern financial markets. I am already seeing the significant impact AI-driven ...

—In a new study, researchers applied predictive machine learning techniques to develop an algorithm capable of identifying patients at increased risk of upstaging, personalizing treatment, and ...

Demis Hassabis and John Jumper are the developers behind AlphaFold, an algorithmic model that can predict the 3D shape of proteins from their amino acid sequences. The model lets researchers visualize ...

Climate models can be a million lines of code long and can take months to run on supercomputers. A new algorithm has dramatically shortened that time. When you purchase through links on our site, we ...

Forbes contributors publish independent expert analyses and insights. Forbes Senior Contributor. 30+ Years Wall Street Career. Professor. Let’s break it down into its components. It’s not that ...

This post aims to provide readers with some ways of evaluating unwarranted claims about machine learning (ML). A friend of mine recently sent me an article that described yet another ML triumph. In ...

When X's engineering team published the code that powers the platform's "for you" algorithm last month, Elon Musk said the ...