Michael Carbin, a professor of computer science at the Massachusetts Institute of Technology (MIT), will be the featured speaker in the National Science Foundation’s (NSF) CISE Distinguished Lecture Series. Carbin will be discussing his research on programming uncertain computations.
Carbin’s research focuses on developing programming languages and systems that can handle uncertainty. This includes developing ways to program with uncertain data, uncertain computations, and uncertain results. He is also interested in developing ways to make programs more robust in the face of uncertainty.
Carbin’s research has been applied to a variety of domains, including robotics, machine learning, and computer vision. He has also developed techniques for automatically verifying the correctness of programs that handle uncertainty.
Carbin’s talk will focus on how to program uncertain computations and how to make programs robust in the face of uncertainty. He will discuss the challenges associated with programming uncertain computations and how his research can help address these challenges. He will also discuss the potential applications of his research and how it can be used to improve existing systems and create new ones.
The NSF CISE Distinguished Lecture Series is an annual event that brings together leading researchers in computer science and engineering to discuss their work. The series provides a platform for researchers to share their work with the public and to inspire the next generation of computer scientists and engineers.
Michael Carbin’s talk promises to be an exciting and informative event. It will provide insight into the challenges associated with programming uncertain computations and how Carbin’s research can help address these challenges. It will also provide insight into the potential applications of his research and how it can be used to improve existing systems and create new ones.
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