In an interview with Semafor, Microsoft AI division leader Mustafa Suleyman said the models were developed with a focus on efficiency and cost-effectiveness.

Here's how to opt in (or ensure you're opted out) of sharing your chat data by Anthropic's September deadline.

Enterprise data platforms increasingly unite analytics, governance and orchestration, with new generative and agentic AI-enabled features to improve autonomy and speed.

AI can transfer strange qualities through seemingly unrelated training—from a love of owls to something more dangerous ...

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial intelligence models—without needing access to the original training data.

Media ML Data Engineering, alongside a Media Data Lake designed to handle video, audio, text, and image assets at scale.

AI in construction can’t thrive on paper checklists and scattered files. Centralizing and standardizing project data drives ...

Modern AI systems are no longer built around a single model that handles every task. Instead, they rely on collections of models, each designed for specific purposes. At the center of this setup is ...

Learn how to use Cursor AI to debug faster, code smarter, and focus on building innovative solutions. Explore how AI coding tools allow anyone ...

Data integration, data virtualization, ETL, and CDC news, analysis, trends, and research from Database Trends and Applications magazine.

Financial modeling involves creating a spreadsheet of a company's costs and income to use in calculating the impact of a future event or decision.

Business intelligence and data analytics news, analysis, trends, and research for the data scientist from Database Trends and Applications magazine.