Physicists are revisiting the chaotic region near singularities within black holes, utilizing new mathematical tools to potentially reconcile general relativity and quantum mechanics and gain a deeper understanding of space and time.
Stephen Wolfram discusses the mysteries of machine learning and offers some minimal models to understand the essence of neural nets and their learning process.
Researchers led by Nigel Goldenfeld and Björn Hof offer new insights into the transition from laminar to turbulent water flow, solving a 150-year-old mystery. The interdisciplinary team applied statistical mechanics to reveal that the phenomenon behaves like directed percolation.
