Nvidia also believes that future progress of AI will be fueled by contributions in the open-source community. In an interview ...

Interestingly, while only 16% of oncology researchers reported using AI in biomarker detection and assessment at the time of ...

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

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

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

Nextdata, the pioneer of autonomous data products, today announced a significant update to Nextdata OS, advancing its position as the unified data product management platform for analytics, machine ...

Meta's acquisition of Scale AI highlights the importance of independence in healthcare AI for better diagnostics.

The world's first multirobot system that integrates a humanoid robot with a transforming drone that can launch off the ...

RLWRLD is capturing high-fidelity 4D+ multimodal real-world data from factories, logistics hubs, and service environments to train RLDX, and deploying a novel architecture that fuses vision, ...

Equipped with 128GB unified system memory and up to 4TB SSD, AI TOP ATOM delivers up to 1 petaFLOP of FP4 AI performance and ...