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The Inflated Value of Network Data for Diffusion
... of individuals to first receive information (“seeds”) in a social network is a widely-studied question with applications in marketing ... interested in communicating a message to a large number of people may wish to compare the cost of network-based targeting to that of ...
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Speed limit for birds
... and underbrush to catch its quarry. With reflexes that rival a fighter pilot’s, the goshawk zips through a forest at high speeds, ... are developing a first-person flying game to test how well people can navigate through a simulated forest at high speeds. ...
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IDSS Distinguished Seminar: Essential Concepts of Causal Inference: A Remarkable History
... Number 32-141 I believe that a deep understanding of cause and effect, and how to estimate causal effects ... experimental settings to more complex ones dealing with people, started in the 1970s and continue to this day, and include the bridging ...
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Who Builds a Skyscraper without Drawing Blueprints?
... be why buildings seldom collapse and programs often crash? A blueprint for software is called a specification. TLA+ specifications have ... formatting system for the ever-diminishing class of people who write formulas instead of drawing pictures. He is also known for ...
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MIT Robotics Seminar
... in the litterature. An example of such complex situations is a robotic bird able to fly at 80 km/h in hard wind: the Robird. In this seminar ... (KHMW). He is currently leading a growing group of about 60 people. He has been among other Editor in chief of the IEEE Robotics and ...
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Causality in digital medicine (A Q&A with Caroline Uhler and colleagues)
... interests in causality inference and how this can provide a robust framework for digital medicine studies. Article Author ... green spaces on health on physical and mental wellbeing of people. You can run a correlational study without taking confounders into ...
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Exploring new methods for increasing safety and reliability of autonomous vehicles
... fatal car crash in the United States, motor vehicles log a whopping hundred million miles on the road. Human reliability also plays ... “If you can fully automate highway driving … you give people back about a third of their driving time.” If it became feasible ...
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Unpacking the “black box” to build better AI models
... Image Caption Stefanie Jegelka, a newly-tenured associate professor in the Department of Electrical Engineering ... loved about MIT, from the very beginning, was that the people really care deeply about research and creativity. That is what I ...
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Building explainability into the components of machine-learning models
... in the model contribute to its prediction. For example, if a model predicts a patient’s risk of developing cardiac disease, a physician ... types of users, from artificial intelligence experts to the people affected by a machine-learning model’s prediction. They also offer ...
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AI4Society Seminar Series
... through datafication practices. These concerns elevate a need for comprehensive and harmonized data regulation efforts across the ... has been recognized as one of the world’s most influential people in AI by TIME, honored in the inaugural Forbes 30 Under 30 AI list, and ...