Published as an arXiv preprint, the paper details how unsupervised and self-supervised AI models are matching or surpassing supervised systems while uncovering biological patterns that traditional ...
Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...
The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for ...
The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
Technology is revolutionising how we gather and assess data on nature, presenting huge benefits and no little irony ...
Three new neural network-based tools enable fast, accurate alignment and annotation of images even in very wiggly subjects.
Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...
As President Trump delivered his State of the Union address, reporters from across NPR's newsroom, are fact checking his ...
Panome Bio, a leading multi-omics contract research organization, today announced the launch of MassID™, a cloud-based ...
Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.
BrainAlignNet, AutoCellLabeler, and CellDiscoveryNet—to automatically track and identify neurons in moving worms and jellyfish.
Operator: Good afternoon, ladies and gentlemen, and welcome to the Innodata to Report Fourth Quarter and Fiscal Year 2025 Results Conference Call.
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