New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

UC San Diego cognitive scientist Philip Guo created Python Tutor, a free tool that makes code “visible” step by step. The research behind it earned a Test of Time award, recog ...

You can now run LLMs for software development on consumer-grade PCs. But we’re still a ways off from having Claude at home.

Traders are using Claude AI to build automated Polymarket trading bots that scan news, detect mispriced probabilities, and execute trades.

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...

Data analytics studies existing business data to identify patterns, trends, and insights that support better decisions.Data ...

Nvidia CEO Jensen Huang hints at agentic AI at GTC; a Groq-based LPU could boost inference, defend its moat, and more. Click ...

Overview Data analytics examines structured datasets to uncover trends, patterns, and actionable insights effectively.Big data analytics processes massive, comp ...

Wondering where to find data for your Python data science projects? Find out why Kaggle is my go-to and how I explore data ...

Researchers tested whether generative AI could handle complex medical datasets as well as human experts. In some cases, the AI matched or outperformed teams that had spent months building prediction ...

In response to the growing demand for skilled professionals in data-driven industries, the Indian Institute of Technology Gandhinagar (IITGN) has launched a new Certificate Program in Machine Learning ...

A research paper at the U.S. Federal Reserve praised the usefulness of prediction markets — specifically looking at Kalshi — in getting a real-time handle on economic policy. "Kalshi’s forecasts for ...