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Physics and machine-learning black box

Machine-learning algorithms are often referred to as a “black box.” Once data are put into an algorithm, it’s not always known exactly how the

George barbastathisJoshua david john rathinarajArun krishnadasRegina barzilaySchwartzman college of computing coreSchwartzman college of computingPhysical systems modelingDesign using machine learningProfessor george barbastathisCrystal owensStrategic integrationData scienceMechanical engineeringMachine learning

Physics and the machine-learning black box | MIT News | Massachusetts Institute of Technology

In MIT class 2.C161, Professor George Barbastathis demonstrates how mechanical engineers can use their unique knowledge of physical systems to keep algorithms in check and develop more accurate predictions.

George barbastathisJoshua david john rathinarajArun krishnadasRegina barzilaySchwartzman college of computing coreSchwartzman college of computingPhysical systems modelingDesign using machine learningProfessor george barbastathisCrystal owensStrategic integrationData scienceMechanical engineeringMachine learningMit classes and programsGeorge barbastathis

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