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Machine learning facilitates "turbulence tracking" in fusion reactors | MIT News | Massachusetts Institute of Technology

Researchers demonstrated the use of computer-vision models to monitor turbulent structures that appear in plasma created in controlled-nuclear-fusion research. They created a synthetic dataset to train these models to identify and track the structures, which can affect the interactions between the plasma and the walls of the plasma vessel.
Theodore Golfinopoulos Woonghee Harry Han Iddo Drori Artificial Intelligence Laboratory Fusion Center Department Of Civil
Source: mit.edu

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New algorithm aces university math course questions

Researchers from MIT and elsewhere developed a machine-learning model that can answer university-level mathematics problems with 100 percent accuracy. The model can also grade questions and generate new questions that college students found to be indistinguishable from those created by human instructors.
Gilbert Strang Iddo Drori University Of Waterloo Harvard University Proceedings Of The National Academy Sciences Boston University
Source: mit.edu

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