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Sending clearer signals
... to keep data flowing as the “internet of things” becomes a reality. Image: M. Scott Brauer Article Author Rob ... and the Statistics and Data Science Center. Today, people carry around a smartphone and maybe a couple smart devices. Whenever you ...
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How AI with MIT Roots Guided Greece’s Covid Testing at the Height of Tourist Season
... with the Greek government and lead the development of EVA, a tool based on machine learning that guided distribution of Greece’s limited ... the country: say, a 23-year-old male from Barcelona or 200 people from Brindisi in southern Italy. EVA recommended to border control ...
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What a Drone Sees
... days, providing access to places too dangerous or remote for people to explore. They support disaster relief efforts and military ... drones programmed by Karaman and his colleagues “see” a world rendered as if in three dimensions—like a video game. The drone ...
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Two sciences tie the knot
David Autor (left), a professor economics, and Asu Ozdaglar, a professor of electrical engineering, ... “How, for example, do you design rewards and costs so that people behave the way you desire?” These issues will be familiar to any ... unseen game-makers behind these types of virtual markets — people who can exert their skill by making it “blatantly obvious for people ...
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Popular new major blends technical skills and human-centered applications
... of Computing, helped oversee the launch of Course 6-14, a new major that combines computer science, data analysis, and economics. M. ... more passionate about understanding how technology affects people’s everyday lives. Snyder, now a junior, found a compelling mix of ...
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3Q: LIDS Affiliate Member Hamsa Balakrishnan on reimagining the future of transportation
... presented by data, intelligence, and autonomy? A: Dramatic transformations are happening because of rapid advances in ... changing nearly every system around us — including the way people and things move. Let us consider driverless cars or drones: at MIT, we ...
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A human-machine collaboration to defend against cyberattacks
... machine learning models to detect suspicious activity on a network. That activity is then presented to human analysts for feedback that ... unsupervised, so it ends up showing a lot of alerts, and people end up shutting it down. The big difference is that PatternEx allows the ...
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Q&A: Cathy Wu on developing algorithms to safely integrate robots into our world
... Assistant Professor of Civil and Environmental Engineering, a member of the MIT Institute for Data, Systems, and Society, and a LIDS ... I decided to study engineering. I wanted to help as many people as a medical doctor could. At MIT, I looked for applications in ...
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LIDS faculty help students combine artificial intelligence with their passions
... an institute-wide research showcase during the MIT Stephen A. Schwarzman College of Computing celebration. By Kim Martineau ... an algorithm to detect previously unidentified mutations in people with autism which cause some cells to carry too much or too little ...
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Ethical Trials, Targeted Ads
... Clinical trials of new drugs or devices face a problem that most empirical inquiries don’t: They must not only provide ... So clinical trials instead group subjects into batches. “People have started batching on the Internet as well, because it’s just too ...