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 ...
Overview Data science roles are expanding as AI tools handle more routine work.Foundation models are replacing task-by-task ...
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 ...
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 ...
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 ...
Artificial-intelligence (AI) tools are becoming increasingly common in science, and many scientists anticipate that they will soon be central to the practice of research, suggests a Nature survey of ...
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.
Imagine drawing on something as delicate as a living cell -- without damaging it. Researchers have made this groundbreaking discovery using an unexpected combination of tools: frozen ethanol, electron ...
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 ...
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