Anthropic research reveals AI models perform worse with extended reasoning time, challenging industry assumptions about test-time compute scaling in enterprise deployments.

Large language models (LLMs) like BERT and GPT are driving major advances in artificial intelligence, but their size and ...

The authors study how apolipoprotein L1 variants impact inflammation and lipid accumulation in macrophages. The findings will be useful for researchers investigating macrophage metabolism and ...

Foveal sensitivity to the features of an imminent saccade target increases with the target’s conspicuity, supporting foveal prediction as a viable mechanism for maintaining visual continuity in ...

Asian Americans, Addiction, Cultural Stigma, Model Minority, Treatment-Seeking, Generational Differences Share and Cite: Shintre, A. and Shintre, A. (2025) Cultural Stigma and Addiction among Asian ...

Embedded data access: Unlock exclusive and third-party datasets, including location intelligence, occupancy details, building features, risk scores, and more.

GitHub and Microsoft, GitHub's corporate parent, are joining the steering committee for MCP, Anthropic’s standard for connecting AI models to the systems where data resides.

Guidewire Predict simplifies the deployment, embedding, and monitoring of predictive models within core systems so insurers can act on data-driven insights in real-time.

Understanding the differences between data mesh, data fabric, and data virtualization can help organizations turn scattered data into a strategic advantage.

AI helps embedded analytics to cross the next frontier Despite all the many obstacles that lie along the path, Perez is confident that AI will make a real difference to embedded analytics.

As far as their policies on national data, it would seem, there isn’t much difference between what the Tories wanted in 2019 and Labour’s data ambitions. The 2022 to 2025 data roadmap ...