This research assesses data provenance in widely used health datasets, revealing flaws that could undermine clinical prediction models and patient care.

For each AI system making operational decisions in your organization, what does it know about the world outside your own data ...

At Bloomberg’s Technology and Innovation Forum in Singapore, the most useful conversation about quant research did not start ...

Inspecting bridges, creating digital twins, and making self-driving cars safer are just a few uses, but many different ...

AI companies are moving beyond a simple race over who has the biggest or newest model. Perplexity CEO Aravind Srinivas says ...

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...

Discover how new AI models are being built using Singapore patients' clinical data to improve healthcare diagnoses and ...

A model may perform exceptionally well and still lack the evidence package necessary to support regulatory review.

Learn how data governance and quality checks in data pipelines can ensure reliable AI systems and prevent costly errors.

When AI-driven detection underperforms, the instinct is to tune the algorithm, retrain the model or push the vendor for a ...

New York is the first state to impose a data center moratorium, as AI's infrastructure boom begins to face public and political resistance.

Learn what Google’s major AI models do, including Gemini, Veo, Imagen, Nano Banana, Gemma, Lyria, Chirp, and Gemini Nano.