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A pulse oxygenation app that helps Covid-19 sufferers determine when to go to the hospital. A teacher using an audio recording to assess a student’s mastery of a topic. A service member tracking illegal fishing thanks to artificial intelligence models. These are just some of the ways that machine learning, artificial intelligence, and signal and image processing can translate into real-world applications. It’s the kind of work that Eric Larson, associate professor of computer science in the Lyle School of Engineering, does. But the true reward, he says, is teaching students how to think.
A pulse oxygenation app that helps Covid-19 sufferers determine when to go to the hospital. A teacher using an audio recording to assess a student’s mastery of a topic. A service member tracking illegal fishing thanks to artificial intelligence models. These are just some of the ways that machine learning, artificial intelligence, and signal and image processing can translate into real-world applications. It’s the kind of work that Eric Larson, associate professor of computer science in the Lyle School of Engineering, does. But the true reward, he says, is teaching students how to think.
A pulse oxygenation app that helps Covid-19 sufferers determine when to go to the hospital. A teacher using an audio recording to assess a student’s mastery of a topic. A service member tracking illegal fishing thanks to artificial intelligence models. These are just some of the ways that machine learning, artificial intelligence, and signal and image processing can translate into real-world applications. It’s the kind of work that Eric Larson, associate professor of computer in the Lyle School of Engineering, does. But the true reward, he says, is teaching students how to think.