Overview Data science roles are expanding as AI tools handle more routine work.Foundation models are replacing task-by-task ...

GUEST OPINION: Science moves forward on data. We all know this. But bad data leads science down dead ends. It wastes time. It wastes money. It delays cures. The real heroes of modern biology are not ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

FutureHouse, an Eric Schmidt-backed nonprofit that aims to build an “AI scientist” within the next decade, has launched its first major product: a platform and API with AI-powered tools designed to ...

Addiction is one of the most intensely studied conditions in modern medicine, yet even with high‑resolution brain scans and ...

Large language models and other artificial-intelligence systems could be excellent at synthesizing scientific evidence for policymakers — but only with appropriate safeguards and humans in the loop.

During my time as a kindergarten teacher, I learned three major lessons about our youngest learners’ relationship to science. Specifically, I learned that elementary school students are predisposed to ...

The big picture: The rapid rise of generative artificial intelligence is prompting a fundamental rethinking of computer science education in the US. As AI-powered tools become increasingly proficient ...

Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...