It has worked its way into our daily lives, from voice assistants like Siri and Alexa to traffic apps that guide us around gridlock, cars that drive themselves and news stories that pop up on our social media feeds. And there’s no end in sight to the potential applications of machine learning—in fraud protection, health care, the stock market and more.
Researchers in CMNS work at the forefront of machine learning technology, where computers analyze data to identify patterns and make decisions with minimal human intervention. These faculty members are using machine learning for applications that touch many aspects of our lives—from weather prediction and health care to transportation, finance and wildlife conservation. Along the way, they are advancing the science of exactly how computers learn. And they’re asking important questions about the impact of machine learning on our everyday lives and society itself.
The shift from a cash economy to one reliant on electronic transactions has left many consumers feeling vulnerable to identity theft and bank fraud. Computer Science Assistant Professor Soheil Feizi and his collaborators at Capital One are counting on machine learning to address this problem. They are developing a system that can learn to identify fraud without relying on a large number of examples.
Chemistry and Biochemistry Assistant Professor Pratyush Tiwary used AI techniques to figure out what causes resistance at the molecular level to Imatinib, better known as Gleevec, which was hailed as a “miracle” cancer drug when it entered the market in the early 2000s.
The Center for Machine Learning is a multidisciplinary center that uses powerful computing tools to address challenges in big data, computer vision, health care, financial transactions and more. Explore the Center for Machine Learning
The Capital One Tech Incubator, a 7,500-square-foot facility adjacent the campus, provides cutting-edge research opportunities in machine learning and data science as well as job opportunities for students and new talent for industry.