THE PROMISE at the heart of the artificial-intelligence (AI) boom is that programming a computer is no longer an arcane skill: a chatbot or large language model (LLM) can be instructed in simple ...

If I were starting my career all over today, the questions I'd face are fundamentally different: Is it even worth learning a language when AI can generate the code? Is a career in computer science ...

Researchers have developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. Their method combines probabilistic AI ...

PyAutoFit is a Python based probabilistic programming language for model fitting and Bayesian inference of large datasets. The basic PyAutoFit API allows us a user to quickly compose a probabilistic ...

Stan is a probabilistic programming language for statistical inference. The Stan language enables sophisticated statistical modeling using Bayesian inference, allowing for more accurate and ...

One of the long-term goals of artificial intelligence (AI) is to build machines that can continually learn new knowledge from their experiences, ground these experiences in the physical world, and ...

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Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, public reviews, and a provisional response from the authors. This work provides a ...

The Python Software Foundation has rejected a $1.5 million government grant because of anti-DEI requirements imposed by the Trump administration, the nonprofit said in a blog post yesterday. The grant ...

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In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...