AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

The Arkanix infostealer combines LLM-assisted development with a malware-as-a-service model, using dual language implementations to maximize reach and establish persistence.

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

The Terry College of Business campus in Athens, Georgia blends historic architecture with modern academic space – home to one ...

Meta has quietly launched its $2 billion acquisition, Manus, as an autonomous AI agent on Telegram. Discover how this "action engine" builds apps, analyzes data, and browses the web for you.

Data analytics has become one of the most powerful advantages a startup can build. Founders who focus on the right signals and act quickly on insights are creating leaner, faster-growing companies ...

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

Beyond dashboards building data enables Stanford Health Care to deliver actionable, explainable insights for precision medicine workflows.

Nimble uses AI agents to search the web, verify and validate the results, and then clean and structure the information into neat tables that can then be queried like a database.

As AI systems grow more autonomous, Walrus argues that verifiable data infrastructure will determine which systems earn trust.

The APAN program recently unveiled new concentrations: Emerging Technologies (on technological advances in analytics) and Quantitative Management (on algorithmic decision-making, quantitative risk ...