Automation of Auxiliary Processes is the Key to the Smart Factory
May 12, 2020 2:36:38 PM
The work of MIT computer scientist Aleksander Madry is fueled by one core mission: “doing machine learning the right way.”
Madry’s research centers largely on making machine learning — a type of artificial intelligence — more accurate, efficient, and robust against errors. In his classroom and beyond, he also worries about questions of ethical computing, as we approach an age where artificial intelligence will have great impact on many sectors of society.
“I want society to truly embrace machine learning,” said Madry, a recently tenured professor in the Department of Electrical Engineering and Computer Science. “To do that, we need to figure out how to train models that people can use safely, reliably, and in a way that they understand.”