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 ...

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.

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 ...

The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes, such as industrial quality inspection, ...

The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...

As President Trump delivered his State of the Union address, reporters from across NPR's newsroom, are fact checking his ...

Three new neural network-based tools enable fast, accurate alignment and annotation of images even in very wiggly subjects.

After more than a year of his chaotic second term, President Donald Trump got a prime time chance to convince Americans the state of the union is strong. CNN annotated Trump’s speech with context and ...

BrainAlignNet, AutoCellLabeler, and CellDiscoveryNet—to automatically track and identify neurons in moving worms and jellyfish.

PTC (NASDAQ: PTC) today announced the release of a fully cloud-native Model-Based Definition (MBD) capability, built directly into its Onshape® computer-aided design (CAD) and product data management ...

Explore how core mathematical concepts like linear algebra, probability, and optimization drive AI, revealing its pattern-recognition capabilities.