As web applications become more sophisticated ... Today, attackers can manipulate some machine learning models by feeding them misleading data to evade detection. It is common for ML models ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery. The framework, Information-Contrastive Learning (I-Con), connects diverse ...

A team of researchers led by Niccolò Maffezzoli, "Marie Curie" fellow at Ca' Foscari University of Venice and the University ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are ... methods to improve existing AI models or come up with new ones.

Attackers inject malicious code into AI models hosted on the public repositories. These models allow attackers to manipulate ...

Open the pod bay door Anthropic on Thursday announced the availability of Claude Opus 4 and Claude Sonnet 4, the latest ...

In a recent analysis, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and collaborator William Gilpin reported that one ...

Current care in multiple sclerosis (MS) primarily relies on infrequently obtained data such as magnetic resonance imaging, clinical laboratory tests or clinical history, resulting in subtle changes ...

Most traditional scrapers fail when a website’s layout changes even a little bit. An AI Web Scraper exploits machine learning ...

Computational psychiatry is an interdisciplinary field of research that applies computational methods to the early detection ...

Machine learning models in healthcare are currently inadequate in detecting critical health deteriorations, with a significant failure rate in predicting in-hospital mortality and cancer prognosis.