AI models are only as good as the data they're trained on. That data generally needs to be labeled, curated and organized before models can learn from it in an effective way. One ...

Along with the dataset, Encord has created a new methodology for training multimodal AI models. It’s called EBind, and the ...

With the rapid advancement of robotics, intelligent sensing, and autonomous decision-making, robotic and AI systems are increasingly influencing human life ...

A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

"I didn’t expect her to continue with this, but she’s done quite a bit of work." Teen prodigy turns heads with cutting-edge ...

Boston University’s Center for Brain Research, which received a $3.2 million National Institutes of Health grant from the ...

Just as human eyes tend to focus on pictures before reading accompanying text, multimodal artificial intelligence (AI)—which ...

Multimodal interfaces that combine voice, vision, text, gesture and environmental context are the next step in making ...

With optical/imaging sensors holding a commanding 35.0% market share, and key regions like Asia Pacific, North America, and ...

Although artificial intelligence has already shown promise in cardiovascular medicine, most existing tools analyze only one type of data—such as electrocardiograms or cardiac images—limiting their ...

Check out WGN Entertainment Reporter Dean Richards’ reviews for this weekend’s movie releases. Get Dean’s reviews and A-List interviews delivered right to your inbox. Sign up for Dean’s Downloads ...