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) ...

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 ...

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 ...

Dr Gulzar Singh explains how algorithmic decision-making in banks has outpaced the institutional structures designed to govern accountability, oversight, and escalation ...

—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 ...

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 ...

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 ...