The landscape for video training data and multimodal foundation models in 2026 is defined by a shift from quantity to highly ...

AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Poor training data does not just hurt model accuracy. It triggers a costly chain reaction. This article shows data leaders exactly where the money bleeds and what to do about it.

Adaption has launched AutoScientist, a new AI tool designed to help models train themselves more efficiently. By ...

Ali Ansari’s decision to turn micro1’s AI recruitment assistant into a data labeling business spiked the company’s valuation from $80 million to discussions at $2.5 billion. Now he’s working on ...

Investment in general-purpose robotics grew fivefold between 2022 and 2024, surpassing $1 billion annually, according to ...

Origin Lab, the technology platform turning licensed game worlds into structured training data for world models and ...

By Katie Paul and Jeff Horwitz NEW YORK, April 21 (Reuters) - Meta is installing new tracking software on U.S.-based employees’ computers to capture mouse movements, clicks and keystrokes for use in ...

Shutterstock's first-ever partnership with a video-to-music platform licenses its music catalog for AI model training-a new benchmark for responsible AI music ...