Meta has announced a new open-source AI model that links together multiple streams of data, including text, audio, visual data, temperature, and movement readings.

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

One Model, a company developing a data science-driven platform for HR, has raised $41 million in a funding round.

The evaluation of solutions performed against the canonical data model, whether those solutions are being designed or considered for purchase, is a qualitative one. There is no expectation that the ...

The problems with real data Tech companies depend on data – real or synthetic – to build, train and refine generative AI models such as ChatGPT. The quality of this data is crucial.

Why one network, one data model is key to intelligent mobility This convergence is essential to create a scalable, future-proof ecosystem where SDVs can operate, innovate, and evolve continuously.

The company didn’t reveal the source of the data it used to train the model, but some AI researchers speculate that at least a portion came from Google’s Gemini family of AI.

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.