O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

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

Innodata INOD has entered 2026 with growing exposure to one of the most critical bottlenecks in enterprise AI adoption — ...

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...

Advanced computer models can quantify the impacts of climate change and other environmental challenges, providing deep ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Even though it might seem like Tesla has a lot going on—robotaxis, literal humanoid robots, and that ever-elusive affordable model that just keeps getting pushed back—its aging core lineup has only ...

As CEOs trip over themselves to invest in artificial intelligence, there’s a massive and growing elephant in the room: that any models trained on web data from after the advent of ChatGPT in 2022 are ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min Kristy Inmon of Miranda ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...