Effective Query Log Anonymization
Google Tech Talks
December 8, 2008
ABSTRACT
User search query logs have proven to be very useful, but have vast potential for misuse. Several incidents have shown that simple removal of identifiers is insufficient to protect the identity of users. Publishing such inadequately anonymized data can cause severe breach of privacy. While significant effort has been expended on coming up with anonymity models and techniques for microdata/relational data, there is little corresponding work for query log data — which is different in several important aspects. In this work, we take a first cut at tackling this problem. Our main contribution is to define effective anonymization models for query log data, along with techniques to achieve such anonymization.
Speaker: Dr. Jaideep Vaidya
Dr. Jaideep Vaidya is an Assistant Professor at Rutgers University. He received his Masters and Ph.D. at Purdue University and his Bachelors degree at the University of Mumbai. His research interests are in Data Mining, Privacy, Security, and Information Sharing. He has published over 30 papers in international conferences and archival journals, and has received two best paper awards from the premier conferences in data mining and databases. He is also the recipient of a NSF Career Award and is a member of the ACM, and the IEEE Computer Society.
Duration : 0:56:14
Team Cornell and the 2007 Urban Challenge: Research, Results and Next Steps
Google Tech Talks
January, 17 2008
ABSTRACT
Team Cornell was one of six teams to complete the 2007 DARPA Urban Challenge, completing over 55 miles of autonomous driving in an urban environment in approximately seven hours, including competition stops. The competition included many urban driving scenarios such as staying in a lane, merging into traffic, passing, intersections, parking, and even robot-robot interaction. Team Cornell designed and built a vehicle around technological innovations in vehicle automation, a real time UDP based data distribution system, tightly coupled pose estimation, scene estimation including localization within an urban environment and tracking all obstacles with a fusion of laser, radar and vision sensors, and hierarchical intelligent planning. Team Cornell’s vehicle was designed to drive “human-like” with smooth, intelligent behaviors, even in the presence of a vast array of uncertainties. The systematic approach taken by Team Cornell led to an innovative, robust solution to the complex problem proposed in the 2007 DARPA Urban Challenge. This seminar will present the key technologies, semi-final and final results, and plans for future research.
Speaker: Dan Huttenlocher
Dan Huttenlocher is the John P. and Rilla Neafsey Professor of Computing, Information Science and Business at Cornell University, where he holds a joint appointment in the Computer Science Department and the Johnson Graduate School of Management. His research interests are in computer vision, social and information networks, collaboration tools, geometric algorithms and financial trading systems. He has been recognized for his research and teaching contributions on several occasions, including being named an NSF Presidential Young Investigator, New York State Professor of the Year and a Fellow of the ACM. In addition to academic posts he has been chief technical officer of Intelligent Markets, a provider of advanced trading systems on Wall Street, and spent more than ten years at Xerox PARC directing work that led to the ISO JBIG2 image-compression standard.
Speaker: Mark Campbell
Mark Campbell is an Associate Professor in the Sibley School of Mechanical and Aerospace Engineering at Cornell University. His research interests are in the areas of autonomous systems, probabilistic models of human decision making, nonlinear estimation theory, cooperative vehicle control and estimation, and sensor fusion. He has been recognized from NASA for his modeling and control work on the Middeck Active Control Experiment, flown on STS-67 in 1995. He received best paper awards from the AIAA and Frontiers in Education conference, and teaching awards Cornell, University of Washington, and the ASEE. He was also an Australian Research Council International Fellowship in 2006 while on sabbatical at the University of Sydney. He is an Associate Fellow of the AIAA, an Associate Director of the AACC board, and member of the AIAA GNC Technical Committee, and is active in both IEEE and ASEE.
Duration : 1:6:12
Hitler hates NSFs(The great ord movement)
Join The Great ORD Movement!!
http://www.facebook.com/groups.php?ref=sb#/group.php?gid=134302275837
Join the group and invite more people! Share this link with anyone and EVERYONE!
Lets all celebrate and spread the love and joy of ORD!
Shirts at 10 bucks a piece! ALL FOR ORD!
All say…ORD LOH!! EVEN HITLER can’t stop us!
Duration : 0:4:20
Young leader of Lok Satta Party-3.mpg
Karthik Chandra looks after LSP’s Research and Advocacy Division towards formulating its public and governance policy stances.Earlier, he served as the elected State President of Yuva Satta, LSPs youth wing.
Karthik holds a bachelor’s degree from the Indian Institute of Technology at Kharagpur (IIT-KGP). He did his graduate research in a collaborative project among University of Cincinnati (UC), Massachusetts Institute of Technology (MIT), Harvard University (DEAS) and Bangladesh University of Engineering and Technology (BUET), under a US National Science Foundation (NSF) research award.
Email : karthik@loksatta.org
Phone Number : +91-98660-17112 (Cell)
+91-40-2323-1818/2829/3637 (Office)
Duration : 0:10:0
Practical Life Extension Results
Google Tech Talk
October 9, 2009
ABSTRACT
Presented by Gregory Benford.
Genescient is the world’s first computational biology company founded on the use of artificial biological selection to cure the diseases of aging. Our laboratory animals have been selected for longevity through 750 generations for the equivalent of 15,000 human years. I will describe Genescient’s multiple pathways toward accelerating human longevity, with parallel enhancements of vigor and function. Genescient applies 21st century genomic technology to identify, screen and develop benign therapeutic substances at precise doses, to defeat the diseases of aging. Our singular approach addresses the complex genomic networks that underlie aging and aging-associated diseases such as cardiovascular disease, Type II diabetes and neurodegenerative diseases. I shall display some results and our first product, due in 2009.
Gregory Benford is a Professor Emeritus at the University of California, Irvine, where he was a Professor of Physics. He is a Woodrow Wilson Fellow, a Fellow of the American Physical Society and was Visiting Fellow at Cambridge University and the Universities of Turin and Bologna. In 1995 he received the Lord Prize for contributions to science. With more than 200 scientific publications, his research encompasses both theory and experiments in the fields of astrophysics and plasma physics. His research has been supported by NSF, NASA, AFOSR, DOE and other agencies. He is an ongoing advisor to NASA, DARPA (Defense Advanced Research Projects Agency) and the CIA.
Dr. Benford is also the author of more than thirty books, nearly all still in print. His work has won many awards, including the Nebula Award for his novel Timescape. His non-fiction Deep Time received much praise in 1999 and he won the United Nations Medal in literature in 1994.
Gregory Benford became Emeritus form the University of California, Irvine, in 2006 in order to found and develop Genescient.
Duration : 0:52:55
Einstein’s Messengers 1
‘Einstein’s Messengers is an Award-winning 20-minute documentary on LIGO, NSF’s Laser Interferometer Gravitational Wave Observatory. The video examines how LIGO is spearheading the completely new field of gravitational wave astronomy and opening a whole new window on the universe. It explains how LIGO’s exquisitely sensitive instruments may ultimately take us farther back in time than we’ve ever been, catching, perhaps, the first murmurs of the universe in formation. Above all, Einstein’s Messengers is a compelling, thought-provoking production about the drama of the scientific quest.’ Date- July 2006. Source- http://www.nsf.gov/news/mmg/index.cfm?s=2 wiki page- http://en.wikipedia.org/wiki/LIGO
Duration : 0:9:55
Using Statistics to Search and Annotate Pictures
Google Tech Talks
September 25, 2006
Nuno Vasconcelos is an Assistant Professor at the Electrical and Computer Engineering Department of the University of California, San Diego, where he heads the Statistical Visual Computing Laboratory. Before joining UCSD, he was a member of the research staff at the Compaq Cambridge Research Laboratory, which later became the HP Cambridge Research Laboratory. He received a PhD from MIT in 2000 and his areas of research interest are computer vision, statistical signal processing, machine learning, and multimedia. He is the recipient of a 2005 NSF CAREER award, and a Hellman Fellowship.
ABSTRACT
The last decade has produced significant advances in content-based…
Duration : 0:56:17
The Cognitive and Computational Neuroscience of Categorization, Novelty-Detec…
Google Tech Talks
November, 15 2007
ABSTRACT
Neurocomputational models provide fundamental insights towards
understanding the human brain circuits for learning new associations
and organizing our world into appropriate categories. In this talk I
will review the information-processing functions of four interacting
brain systems for learning and categorization:
(1) the basal ganglia which incrementally adjusts choice behaviors using environmental
feedback about the consequences of our actions,
(2) the hippocampus which supports learning in other brain regions through the creation of
new stimulus representations (and, hence, new similarity
relationships) that reflect important statistical regularities in the
environment,
(3) the medial septum which works in a feedback-loop with
the hippocampus, using novelty-detection to alter the rate at which
stimulus representations are updated through experience,
(4) the frontal lobes which provide for selective attention and executive
control of learning and memory.
The computational models to be described have been evaluated through a variety of empirical
methodoligies including human functional brain imaging, studies of
patients with localized brain damage due to injury or early-stage
neurodegenerative diseases, behavioral genetic studies of
naturally-occuring individual variability, as well as comparative
lesion and genetic studies with rodents. Our applications of these
models to engineering and computer science including automated anomaly
detection systems for mechanical fault diagnosis on US Navy
helicopters and submarines as well more recent contributions to the
DoD’s DARPA program for Biologically Inspired Cognitive Architectures
(BICA).
Speaker: Dr. Mark Gluck
Mark Gluck is a Professor of Neuroscience at Rutgers University – Newark, co-director of the Rutgers Memory Disorders Project, and publisher of the public health newsletter, Memory Loss and the Brain. He works at the interface between neuroscience, psychology, and computer science, where his research focuses on the neural bases of learning and memory, and the consequences of memory loss due to aging, trauma, and disease. He is the co-author of “Gateway to Memory: An Introduction to Neural Network Models of the Hippocampus and Memory ” (MIT Press, 2001) and a forthcoming undergraduate textbook, “Learning and Memory: From Brain to Behavior.” He has edited several other books and has published over 60 scientific journal articles. His awards include the Distinguished Scientific Award for Early Career Contributions from the American Psychological Society and the Young Investigator Award for Cognitive and Neural Sciences from the Office of Naval Research. In 1996, he was awarded a NSF Presidential Early Career Award for Scientists and Engineers by President Bill Clinton. For more information, see http://www.gluck.edu.
Duration : 1:2:13
GCCS97 #160 Proceedings of the GCC Developers Summit 2007
From http://ols.108.redhat.com/2007/GCC-Reprints/GCC2007-Proceedings.pdf . for library functions or system calls to complete. A GIMPLE transformation plug-in could accept a list of locks and interface functions to profile, and add entry-exit profiling to these locks and functions. This would be coupled to a runtime library that determines the amount of time spent waiting for these interfaces, credited to the functions that waited for them. 7 Acknowledgments This work was partially made possible thanks to a Computer Systems Research N.S.F award (CNS-0509230) and an N.S.F CAREER award in the Next Generation Software program (CNS-0133589). We also thank Michael Gorbovitski, Radu Grosu, Annie Liu, Justin Seyster, Scott Smolka, Scott Stoller,
Duration : 0:1:53
WVU Physics
The Physics Department at West Virginia University has transformed itself over the past five years. The small department has hired outstanding young faculty, received international attention for its research, and won numerous awards and grants.
Duration : 0:4:22