In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

Climate-smart agriculture (CSA) is a focal point in agricultural and climate policies, with key goals including mitigating greenhouse gas (GHG) emissions, ...

U.S. Citizenship and Immigration Services (USCIS) issued a Request for Information from on remote document authentication and ...

Researchers at TU Delft and partner organizations have built graphene sensors small enough to detect the vibrations of a ...

Microsoft's Bing team has open-sourced Harrier, an embedding model family that tops the multilingual MTEB v2 benchmark under an MIT license.

The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation.You’ll hear someone say “AI system” when they really mean a predictive model.

Read more about Smart wearable tech with AI brings real-time performance insights to strength training on Devdiscourse ...

AI systems label and score content before ranking. Annotation determines how you’re understood — and whether you compete at all.

Neuropacs™ Corp., an innovator in AI-enabled neurological imaging, today announced that the U.S. Food and Drug Administration has granted De Novo classification to neuropacs™, a diffusion MRI-based ...

A new study shows that self-supervised artificial intelligence may offer a more practical path for detecting concrete cracks ...