Are you a social scientist with intellectual drive and curiosity, who wants to think more critically about the importance of data in your field?

In medieval Denmark, people could pay for more prestigious graves closer to the church — a sign of wealth and status. But when researchers examined hundreds of skeletons, they discovered something ...

Posts from this topic will be added to your daily email digest and your homepage feed. is an investigations editor and feature writer covering technology and the people who make, use, and are affected ...

Abstract: Python data science libraries such as Pandas and NumPy have recently gained immense popularity. Although these libraries are feature-rich and easy to use, their scalability limitations ...

Hyperscale data centers are now powering AI models with a revolutionary architecture—at a staggering energy cost. In sprawling stretches of farmland and industrial parks, supersized buildings packed ...

So, you want to learn Python online and you’re wondering where to start? Reddit can be a surprisingly good place to get pointers, even if it’s not a formal course itself. People share what works for ...

The University of Alabama at Birmingham today celebrated the ribbon-cutting and grand opening of the Altec/Styslinger Genomic Medicine and Data Sciences Building, a transformative facility that will ...

Anthropic announced Claude for Life Sciences, an AI integration for researchers to advance scientific discovery. Claude for Life Sciences is built around Anthropic's existing AI models and supports ...

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases. The code in the book was tested with Python 3.5, though most (but ...

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This year’s 16 newcomers deepen the college’s bench in a wide range of areas, including artificial intelligence, cosmology, ecology, obesity, human relationships and materials science. Each year, the ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...