One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified blueprint for researchers to navigate classification, clustering, ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Recent advances in the field of artificial intelligence (AI) have opened new exciting possibilities for the rapid analysis of ...

As AI models grow more complex, a new white-collar gig workforce has emerged to review and guide systems. A new category of ...

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

A novel AI method inspired by the Sabarimala Yatra enhances problem-solving in science and medicine. Discover its ...

Under the revised EU AML/CFT package, institutions are expected to adopt more sophisticated, proactive approaches to ...