Researchers cobbled together funding and time to show how quantum computing could aid in the development of drugs to help ...

General purpose AI tools for science, such as Claude Science, promise to accelerate research. But which is right for you?

Discover what agentic AI is and how AI agents work. Uncover the types of agentic AI systems, their enterprise use cases, ...

In a recent article, Datadog engineer Arnold Wakim shared what worked, what didn't, and the lessons they learned while ...

GDPR AI training data guidelines adopted by the European Data Protection Board on July 8, 2026, end the free-pass era for ...

These days, the frontier AI labs are all racing to build self-improving models. Some believe it’s the surest route to ...

Excel is everywhere—more than 750 million people open a workbook each year to balance budgets, fine-tune supply chains, and ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

Data plays a crucial role in training learning-based methods for 3D point cloud registration. However, the real-world dataset is expensive to build, while rendering-based synthetic data suffers from ...

Everything you need to know about how we analyzed the 13,000+ comments submitted in the federal government’s request for ...

Data analysis is no longer a specialist skill reserved for analysts. It now supports finance, trading, ecommerce, marketing, ...

After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...