Recent advances in artificial intelligence (AI), machine learning, and generative models have accelerated the adoption of AI-assisted decision-making across ...
Meta’s open-source AI models SAM 3 and DINOv3 are running on 300 NVIDIA A100 GPUs at Lawrence Berkeley National Lab, ...
Researchers from the National University of Singapore (NUS) have developed artificial intelligence (AI) methods that learn the large-scale behavior of complex materials from microscopic data. By ...
Companies aim to improve drug discovery by training AI on one another’s data and generating large, open datasets ...
This review examines how microscopy and computational analysis can identify defects in self-assembled nanosphere structures ...
Over the last few years, the single-cell landscape has transitioned from mapping individual cellular transcriptomes to ...
Artificial intelligence is moving from the margins of virology into its operational core. It can scan viral genomes, ...
Discover why Scale AI is not the only data labeling company worth considering and explore strong alternatives for your ML ...
None of this use of AI arrived as science fiction. Adoption was uneven, frequently overpromised, and driven by the belief ...
This platform will integrate diverse datasets on fungal strains and species, including genomic, phenotypic, ecological, and imaging data, into a unified and accessible infrastructure. As a software ...
SunTec India completed a major data labeling initiative for a government-backed infrastructure consulting firm, processing more than 3 million annotations with sustained 99% accuracy. The dataset will ...
Unidata's CrowdArena scores Prolific, MTurk, Microworkers, SproutGigs, and Connect across 60+ operational parameters.
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