Category: AI
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talk: Mining social media data for health, public health & popular events, 1-2pm ET 4/2
Mining social media data for health, public health, and popular events Anietie Andy, University of Pennsylvania 1:00-2:00 pm ET, Friday, 2 April 2021 online via WebEx Increasingly, individuals are turning to social media and online forums such as Twitter and Reddit to communicate about a range of issues including their health and well-being, public health concerns,…
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talk: Forward & Inverse Causal Inference in a Tensor Framework, 1-2 pm ET, 3/29
Forward and Inverse Causal Inference in a Tensor Framework M. Alex O. VasilescuInstitute of Pure and Applied Mathematics, UCLA 1-2:00 pm Monday, March 29, 2021via WebEx Developing causal explanations for correct results or for failures from mathematical equations and data is important in developing a trustworthy artificial intelligence, and retaining public trust. Causal explanations are…
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talk: Machine Learning: New Methodology for Physical & Social Sciences, 1pm ET 3/24
24 hour LIDAR backscatter profiles and PBLH points generated from image machine learning system The Infusion of Machine Learning as a New Methodology for the Physical and Social Sciences Dr. Jennifer SleemanCSEE, UMBC 1:00-2:00 pm ET, Wednesday, March 24Online via WebEx Machine learning has made improvements in many areas of computing. Recently attention has been given…
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talk: (Don’t) Mind the Gap: Bridging the Worlds of People and IoT Devices, 1-2 ET 3/23
Dr. Roberto Yus talks about his research helping IoT systems bridge the gap between the world of IoT devices and the world where people act. 1-2 pm ET, Tue. March 23
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talk: Towards Contextual Security of AI-enabled platforms, 1-2 pm ET 3/22
Dr. Nidhi Rastogi of RPI talks about her work on using automated, trustworthy, and contextual AI systems to improve the security of Internet-connected systems and devices.
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talk: Theoryful Machine Learning in the Chemical Sciences, 1-2 Fri 2/5
Prof. Tyler Josephson of UMBC’s Chemical, Biochemical & Environmental Engineering Dept. will talk on Theoryful Machine Learning in the Chemical Sciences, 1-2pm ET Friday, Feb. 5.
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Visiting Prof. Ed Raff’s forthcoming book: Inside Deep Learning
Ed Raff’s book Inside Deep Learning is being published by Manning. He’s a Chief Scientist at Booz Allen Hamilton and both an alumnus of and visiting assistant professor in the UMBC CSEE department.
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talk: Medical Informatics – Promise and Barriers Towards Precise Medicine, 10am ET Mon 11/23, Webex
Dr. Mira Marcus-Kalish of Tel Aviv University will talk on “Medical Informatics– Promise and Barriers Towards Precise Medicine” at 10:00 am ET on Monday, 23 Nov. 2020 online vis Webex.
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CSEE alum Balaji Vishwanathan’s robotics company featured in Forbes
Balaji Viswanathan’s company Invento Robotics is featured in Forbes India for its work on applying robotics to fight the COVID-19 pandemic.
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New NSF grant to improve human-robot interaction
Drs. Matuszek, Ferraro and WInder received an NSF award for research on semi-supervised deep learning for domain adaptation in robotic language acquisition.