This work reviews the state of the art, outlines a roadmap for algorithmic developments, and provides resource estimates to guide large-scale applications in high-energy physics.

An online trove of archived conversations shows the artificial-intelligence model sending users down a rabbit hole of theories about physics, aliens and the apocalypse.

Bayesian approaches to the study of politics are increasingly popular. But Bayesian approaches to modeling multiple time series have not been critically evaluated. This is in spite of the potential ...

Learn about the work that quantitative financial analysts do every day, and determine what it takes to become a successful professional in the field.

A series of events called the Quantum Fringe has enabled everyone from school students and the interested public to researchers and industry experts to gain new ...

Python is a top choice for developing AI tools and applications, but its real superpower is ease of use. This week’s report highlights the ways Python just keeps getting better, with or without AI.

A team of Johns Hopkins engineers has developed a new, more powerful method to observe molecular vibrations, an advance that could have far-reaching implications for early disease detection ...