More accurate and individualized health predictions will allow for preventative factors to be implemented well in advance.

The future of the field isn't less engineering but better engineering, where people focus on design, integrity and impact ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Machine​‍​‌‍​‍‌​‍​‌‍​‍‌ learning models are highly influenced by the data they are trained on in terms of their performance, ...

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.

While many organizations are experimenting with synthetic data, few are focusing on scalability and building AI-ready data ...

AI is changing search, but traditional SEO still drives most traffic. Real-world data shows which tactics continue to perform ...

Google is making Gemini 3 Flash the default model in the Gemini app globally, replacing Gemini 2.5 Flash. Users can still ...

Discover how behavioral modeling helps predict consumer actions using spending data, enabling businesses to refine targeting ...

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic ...