Category: Data Science
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🗣️ talk: Challenges and pitfalls in big data analysis, 3:30 Thr 4/12 ITE325
CHMPR Distinguished Lecture Challenges and pitfalls in big data analysis Yoav Benjamini, Tel Aviv University 3:30-5:00 Thursday, 12 April 2018, ITE 325b, UMBC I shall warn about the pitfalls resulting from the false assurance that “we have all data at hand”, and discuss the challenges that are not commonly recognised such as the validity and…
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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: Addressing Real-world Societal Challenges: Advanced Game-Theoretic Models and Algorithms 3/29
Addressing Real-world Societal Challenges: Advanced Game-Theoretic Models and Algorithms Dr. Thanh H. Nguyen, University of Michigan 1:15-2:15 Thursday, 29 March 2018, ITE 325, UMBC This talk will cover my research in AI, with a focus on Multi-Agent Systems, for solving real-world societal problems, particularly in the areas of Sustainability, Public Safety and Security,…
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🗣️ talk: Challenges and pitfalls in big data analysis
CHMPR Distinguished Lecture Challenges and pitfalls in big data analysis Yoav Benjamini, Tel Aviv University 3:30-5:00 Thursday, 12 April 2018, ITE 325b, UMBC I shall warn about the pitfalls resulting from the false assurance that “we have all data at hand”, and discuss the challenges that are not commonly recognised such as the validity and…
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🤝Women Data Scientists in Baltimore Meetup: Get started in Data Science, 3/31
By Fourandsixty (Own work) [CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0)], via Wikimedia Commons The Women Data Scientists in Baltimore Meetup will hold its first meeting this month, featuring a talk by Patty Stanton of the Social Security Administration on how to get started in the field of data science. Men are also welcome at this event. More information…
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UMBC Cyber Dawgs Capture The Flag Cybersecurity Competition, Sunday March 11
UMBC Cyber Dawgs Capture The Flag Cybersecurity Competition The national champion UMBC Cyber Dawgs will hold the second annual computer security Capture The Flag (CTF) competition on Sunday, March 11th from 11am-7pm in the UC Ballroom. This CTF event is a Jeopardy-style competition where teams of four people use their laptops to discover answers to…
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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: Towards Hardware Cybersecurity, 11am Tue 2/20, ITE325, UMBC
Towards Hardware Cybersecurity Professor Houman Homayoun George Mason University 11:00am-12:00pm Tuesday, 20 Febuary 2018, ITE 325, UMBC Electronic system security, trust and reliability has become an increasingly critical area of concern for modern society. Secure hardware systems, platforms, as well as supply chains are critical to industry and government sectors such as national defense, healthcare,…
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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…
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Jennifer Sleeman receives AI for Earth grant from Microsoft
Jennifer Sleeman receives AI for Earth grant from Microsoft Visiting Assistant Professor Jennifer Sleeman (Ph.D. ’17) has been awarded a grant from Microsoft as part of its ‘AI for Earth’ program. Dr. Sleeman will use the grant to continue her research on developing algorithms to model how scientific disciplines such as climate change evolve and…