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

Researchers have found that introducing human-made data into AI training can help to prevent AI model collapse.

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — boosting MMLU scores by 18 points over human baselines.

Google Research unveils SensorLM, a foundation model trained on 59.7 million hours of Fitbit and Pixel Watch data that ...

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.

Once, the world’s richest men competed over yachts, jets and private islands. Now, the size-measuring contest of choice is clusters. Just 18 months ago, OpenAI trained GPT-4, its then state-of-the-art ...

New work explaining the inner workings of artificial intelligence could provide a way around the threat of AI "model collapse," potentially averting growing numbers of AI hallucinations in the future.

Discover how financial firms are leveraging synthetic data and AI to improve forecasting, risk modeling, and decision-making ...