Vast amounts of valuable research data remain unused, trapped in labs or lost to time. Frontiers aims to change that with ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

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 ...

Most scientific data never fuel the discoveries they should.  For every 100 datasets created, around 80 remain in the lab, 20 are shared but rarely reused, fewer than two meet FAIR standards, and only ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...

The Age of AI will rely on massive volumes of data that can be easily stored and retrieved—and bioscience may have an ingenious solution. A scientist examines a DNA (deoxyribonucleic acid) profile on ...

Databricks has added a new agent, the Data Science Agent, to the Databricks Assistant, in an effort to help data practitioners automate analytics tasks. The agent, which is available now in preview ...

Easton R. White is an assistant professor of biology at the University of New Hampshire who studies biodiversity and ...

The Narwhal reports on a proposed $70 billion AI data center in drought-stricken Alberta, raising concerns over water and Indigenous consultations.

We’re creating tools that influence decisions about who gets help or flagged as a threat. But are these tools really fair?

And that computing power has a big environmental footprint. A typical AI data center uses as much electricity as 100,000 ...