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.

Stop throwing money at GPUs for unoptimized models; using smart shortcuts like fine-tuning and quantization can slash your training costs without losing accuracy.

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

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

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 ...

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

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.