Category: Machine learning
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🤖 talk: Where’s my Robot Butler? 1-2pm Friday 4/13, ITE 231
UMBC ACM Student Chapter Talk Where’s my Robot Butler? Robotics, NLP and Robots in Human Environments Professor Cynthia Matuszek, UMBC 1:00-2:00pm Friday, 13 April 2018, ITE 231, UMBC As robots become more powerful, capable, and autonomous, they are moving from controlled industrial settings to human-centric spaces such as medical environments, workplaces, and homes. As physical…
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UMBC launches NSF Center for Accelerated Real Time Analytics
UMBC launches Center for Accelerated Real Time Analytics to tackle data-intensive challenges from disease tracking to online privacy The National Science Foundation (NSF) has selected UMBC to lead a new $3 million research partnership that will deploy next-generation computing hardware to solve major infrastructure challenges. UMBC will launch the Center for Accelerated Real Time…
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talk: Semi-supervised Learning for Visual Recognition, 1pm Fri 2/23, ITE325, UMBC
ACM Faculty Talk Series Semi-supervised Learning for Visual Recognition Dr. Hamed Pirsiavash, Assistant Professor, CSEE 1:00-2:00pm Friday, February 23, 2018, ITE 325, UMBC We are interested in learning representations (features) that are discriminative for semantic image understanding tasks such as object classification, detection, and segmentation in images. A common approach to obtain such features is…
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talk: Nonnegative Binary Matrix Factorization on a D-Wave Quantum Annealer, 1:30 2/15
CHMPR Distinguished Lecture Series Nonnegative Binary Matrix Factorization with a D-Wave Quantum Annealer Dr. Daniel O’Malley Los Alamos National Laboratory 1:30 15 February 2018, ITE325, UMBC D-Wave quantum annealers represent a novel computational architecture and have attracted significant interest. Much of this interest has focused on the quantum behavior of D-Wave machines, and…