AI comes to the Nobels: double win sparks debate about scientific fields
Briefly

Jonathan Pritchard, an astrophysicist, expressed skepticism over the Nobel recognition, stating, "I'm speechless... I like machine learning... but hard to see that this is a physics discovery." His remark highlights a prevailing concern among physicists that the award may conflate computer science achievements with fundamental physics breakthroughs.
Sabine Hossenfelder criticized the decision, saying the praise for Hinton and Hopfield's work falls into computer science rather than physics. She lamented that the event could have showcased physics more effectively, remarking that this year's Nobel Prize didn't allow physicists to shine.
Conversely, Matt Strassler applauded the interdisciplinary nature of the award, stating, "Hopfield and Hinton's research was interdisciplinary, bringing together physics, math, computer science, and neuroscience. In that sense, it belongs to all of these fields." His comments suggest a broader acceptance of cross-disciplinary achievements.
Anil Ananthaswamy, a science writer, supported the Nobel committee's choice, indicating it acknowledges essential advancements in understanding complex systems. He argues that recognizing such interdisciplinary contributions is critical for the evolution of science.
Read at Nature
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