Michael Carbin, a professor of computer science at the Massachusetts Institute of Technology (MIT), will be presenting on the topic of programming uncertain computations at the National Science Foundation’s (NSF) CISE Distinguished Lecture Series. This lecture series is designed to bring together experts from the computing and information science and engineering (CISE) community to discuss the latest research and developments in the field.
Carbin’s presentation will focus on how to program uncertain computations, which are computations that involve uncertainty or randomness. He will discuss how to design algorithms that can handle uncertainty, as well as how to use probabilistic programming languages to represent uncertain computations. He will also discuss how to use machine learning techniques to improve the accuracy of uncertain computations.
Carbin is an expert in programming languages and has been researching and developing programming languages for the past two decades. He has developed several programming languages, including the probabilistic programming language Church, which is used for uncertain computations. He has also worked on programming language theory and verification, as well as on programming language implementations.
Carbin’s presentation at the NSF CISE Distinguished Lecture Series is a great opportunity for members of the CISE community to learn more about programming uncertain computations from an expert in the field. His expertise in programming languages and his experience with developing probabilistic programming languages make him an ideal presenter for this topic.
The NSF CISE Distinguished Lecture Series is a valuable resource for members of the CISE community, providing them with an opportunity to learn from experts in the field. Carbin’s presentation on programming uncertain computations is sure to be an informative and engaging event that will provide attendees with valuable insights into this important topic.
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