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 ...

Methodology: how we trained a machine learning model to analyse rhetoric on immigration in the UK parliament over the course of a century ...

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.

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

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

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

Nuke 17.0 adds native Gaussian Splats, USD 3D system and BigCat machine learning to Foundry’s compositing pipeline.

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit ...

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

Discover the top 3 undervalued Professional Services stocks for Friday, February 27 based on AAII’s Stock Grades.