Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

"We extract nearly all of Harry Potter and the Sorcerer's Stone from jailbroken Claude 3.7 Sonnet," the authors said, citing ...

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

Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

Eight years after the first mobile NPUs, fragmented tooling and vendor lock-in raise a bigger question: are dedicated AI ...

Some kids plan to kill. Can we discover who they are before they do? A program that combines neural and clinical data via ...