Machine learning can get a boost from quantum physics. On certain types of machine learning tasks, quantum computers have an exponential advantage over standard computation, scientists report in the ...
In today's podcast, Ilona talks with Tim Stelzer, a theoretical particle physicist and a research Associate Professor of Physics at the University of Illinois. Over the past few years, Tim has created ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
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Python physics lesson 18: Learning numerical integration
Dive into Python Physics Lesson 18 and master numerical integration! In this tutorial, we explain step by step how to use Python to approximate integrals, solve physics problems, and analyze motion ...
Middle school students learned more about a sustainable future this week at Franklin College. Arbin Thapaliya, associate professor of physics, was awarded a $25,000 grant from the Ball Venture Fund to ...
The original version of this story appeared in Quanta Magazine. When she was 10 years old, Rose Yu got a birthday present that would change her life—and, potentially, the way we study physics. Her ...
John Hopfield and Geoffrey Hinton won the Nobel Prize in Physics for their foundational work in artificial intelligence. Hinton, known as the godfather of AI, is a dual citizen of Canada and Britain, ...
Muons tend to scatter more from high-atomic-number materials, so the technique is particularly sensitive to the presence of materials such as uranium. As a result, it has been used to create systems ...
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