Soheil Kolouri
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Soheil Kolouri receives NSF CAREER Award to enhance machine learning
Soheil Kolouri, assistant professor of computer science at Vanderbilt University, has received a National Science Foundation CAREER Award to explore ways to make machine learning more efficient and possibly impact the next generation of such methods. Read MoreJan 8, 2024
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Soheil Kolouri receives NSF CAREER Award to enhance machine learning
Soheil Kolouri, assistant professor of computer science at Vanderbilt University, has received a National Science Foundation CAREER Award to explore ways to make machine learning more efficient and possibly impact the next generation of such methods. Despite the success of machine learning, scientists say many foundational questions and theoretical aspects remain poorly understood, posing unwanted... Read MoreJan 8, 2024
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Team of Vanderbilt experts selected to develop low-cost training tools aimed at expanding global access to minimally invasive surgeries
Led by Nabil Simaan, professor of mechanical engineering and a globally renowned expert in robotic surgery, a multidisciplinary team from the Vanderbilt Institute for Surgery and Engineering has received nearly $4 million to develop a low-cost simulation tool to find solutions that allow safer, minimally invasive surgeries for a wider swath of the global population. Read MoreFeb 6, 2023
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Vanderbilt engineer leads DARPA project to enable AI machines to gain, share knowledge
Soheil Kolouri, assistant professor of computer science, is part of a team that has received a $1 million award from the Defense Advanced Research Projects Agency as part of the agency’s Shared-Experience Lifelong Learning initiative. Read MoreFeb 9, 2022
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Vanderbilt engineer leads $1 million DARPA project to enable AI machines to gain, share knowledge
A Vanderbilt engineering professor is leading part of an international initiative to create advanced artificial intelligence programs that will enable machines to learn progressively over a lifetime and share those experiences with each other. Researchers hope the technology will allow machines to reuse information, adapt quickly to new conditions and collaborate by sharing information. Read MoreDec 2, 2021