The “Hubble tension”: A growing crisis in cosmology

Credit: NASA Goddard Space Flight Center

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The standard model of mathematical physics

The standard model, namely the framework of laws at the foundation of modern mathematical physics, has reigned supreme since the 1970s, having been confirmed to great precision in a vast array of experimental tests. Among other things, the standard model predicted the existence of the Higgs boson, which was experimentally discovered in 2012, nearly 50 years after it was first predicted.

Yet physicists have recognized for many years that the standard model cannot be the final answer. For example, quantum theory and

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2024 Nobel Prize in Chemistry awarded to computational protein folding pioneers

Model of human nuclear pore complex, built using AlphaFold2; credit: Agnieszka Obarska-Kosinska, Nature

AlphaFold 2: A breakthrough in computational protein folding

The 2024 Nobel Prize in Chemistry has been awarded to David Baker of the University of Washington and to Demis Hassabis and John Jumper of Google DeepMind. Hassabis and Jumper, now at the Google DeepMind Research Center in the U.K. (a subsidiary of Alphabet, Google’s parent company), developed an artificial intelligence-based software package that predicts with remarkable accuracy the structure of proteins. Baker, now at the University of Washington in Seattle, was recognized for his work on designing

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Terence Tao’s vision of AI assistants in research mathematics

Credit: Valentin Tkach for Quanta Magazine

Computer-assisted tools for research mathematics

In a previous Math Scholar article, we highlighted some recent developments in sophisticated computer tools being applied to the enterprise of research mathematics. These tools include:

Typesetting tools (usually LaTeX), combined with tools such as MathJax for embedding typeset mathematics into web pages. Collaboration tools such as blogs, FaceTime, Skype, Zoom, Slack and Microsoft Teams to facilitate communication and collaboration between researchers. Symbolic mathematical software such as Mathematica, Maple and Sage to perform increasingly powerful symbolic manipulations and derivations, and to generate graphics illustrating results. Custom-written code, often

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