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Vidéos : googletechtalks
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.
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Affichage : 9517 Durée : 3733 s
Reading Your Mind: Interfaces for Wearable Computing
Google Tech Talks March, 6 2008 ABSTRACT Today's mobile devices have inherited many of the characteristics of desktop computing - including the assumptions that the user's full attention can be focused on the interface and that the user has the manual dexterity to spare for it. These assumptions result in users who run into doorways while typing an e-mail on their mobile phone. When faced with these interface difficulties in our experiments, users sometimes exclaim "I want my device to read my mind!" In this talk, we will demonstrate several prototypes that exploit pattern recognition and good interface design to simulate reading the user's mind by guessing their intent. In addition, we describe preliminary work on an actual brain computer interface. Informed by our own wearable computer use since 1993, my group investigates what mobile users claim to do with their devices, what they actually do with their devices, what they want to do, and the mobile interface challenges that interfere with the fulfillment of users' desires. We are currently exploring a successful modern incarnation of a wearable computer, the RIM Blackberry equipped with a Bluetooth earpiece, focusing on its mini-QWERTY keyboard. We have developed a technique called Automatic Whiteout++ that can eliminate 25% of mini-QWERTY users' "fat finger" typing errors, without using a dictionary. We will also discuss Dual Purpose Speech agents, which "listen in" on the user's conversation to help schedule appointments, remember small "notable" pieces of information, and communicate with remote assistants. Finally, we will describe our preliminary research on BrainSign, a direct brain interface where the user communicates through natural language. Speaker: Thad Starner Bio: Thad Starner is an Associate Professor at Georgia Institute of Technology's School of Interactive Computing. Thad was perhaps the first to integrate a wearable computer into his everyday life as an intelligent personal assistant. Starner's work as a PhD student would help found the field of Wearable Computing. His group's prototypes and patents on mobile MP3 players, mobile instant messaging and e-mail, gesture-based interfaces, and mobile context-based search foreshadowed now commonplace devices and services. Thad has authored over 100 scientific publications with over 100 co-authors on mobile Human Computer Interaction (HCI), pattern discovery, human power generation for mobile devices, and gesture recognition, and he is a founder and current co-chair of the IEEE Technical Committee on Wearable Information Systems. His work is discussed in public forums both in the United States and internationally, such as CNN, NPR, the BBC, CBS's 60 Minutes, The New York Times, Nikkei Science, The London Independent, The Bangkok Post, and The Wall Street Journal.
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Affichage : 5171 Durée : 4849 s
Social Recommendations
Google Tech Talks April, 10 2008 ABSTRACT Social Recommendations will change both the lens through which we see the world as well as the manner in which we experience it. Everything from the media that we consume to the events we attend will be influenced by hyper-relevant results delivered through hierarchical social relationships. This talk demonstrates current efforts to integrate social relationships into recommended user experience including SoMR, the Social Media Recommendation API. Speaker: Dan Carroll Dan is the Director of the SoMR (Social Media Recommendation) project and the CEO of imp, the Intelligent Media Platform. Dan has worked in magazine and book publishing, labor organizing, and at a public policy think tank. He holds a patent in digital media distribution and writes the blog www.mediapatron.com. Dan lives in Mountain View, California and serves on the boards of Echolocations and InRadio.
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Affichage : 3509 Durée : 2458 s
An Overview of High Performance Computing and Challenges for the Future
Google Tech Talks January, 25 2008 ABSTRACT In this talk we examine how high performance computing has changed over the last 10-year and look toward the future in terms of trends. These changes have had and will continue to have a major impact on our software. A new generation of software libraries and algorithms are needed for the effective and reliable use of (wide area) dynamic, distributed and parallel environments. Some of the software and algorithm challenges have already been encountered, such as management of communication and memory hierarchies through a combination of compile--time and run--time techniques, but the increased scale of computation, depth of memory hierarchies, range of latencies, and increased run--time environment variability will make these problems much harder. We will focus on the redesign of software to fit multicore architectures. Speaker: Jack Dongarra University of Tennessee Oak Ridge National Laboratory University of Manchester Jack Dongarra received a Bachelor of Science in Mathematics from Chicago State University in 1972 and a Master of Science in Computer Science from the Illinois Institute of Technology in 1973. He received his Ph.D. in Applied Mathematics from the University of New Mexico in 1980. He worked at the Argonne National Laboratory until 1989, becoming a senior scientist. He now holds an appointment as University Distinguished Professor of Computer Science in the Electrical Engineering and Computer Science Department at the University of Tennessee, has the position of a Distinguished Research Staff member in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL), Turing Fellow in the Computer Science and Mathematics Schools at the University of Manchester, and an Adjunct Professor in the Computer Science Department at Rice University. He specializes in numerical algorithms in linear algebra, parallel computing, the use of advanced-computer architectures, programming methodology, and tools for parallel computers. His research includes the development, testing and documentation of high quality mathematical software. He has contributed to the design and implementation of the following open source software packages and systems: EISPACK, LINPACK, the BLAS, LAPACK, ScaLAPACK, Netlib, PVM, MPI, NetSolve, Top500, ATLAS, and PAPI. He has published approximately 200 articles, papers, reports and technical memoranda and he is coauthor of several books. He was awarded the IEEE Sid Fernbach Award in 2004 for his contributions in the application of high performance computers using innovative approaches. He is a Fellow of the AAAS, ACM, and the IEEE and a member of the National Academy of Engineering.
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Affichage : 9089 Durée : 3354 s
BayPIGgies Meeting: Alex Martelli on Python Callbacks
Google Tech Talks June 13, 2008 ABSTRACT Local meeting of the Bay Area Python Interest Group. Don't call us, we'll call you: callback patterns and idioms in Python Callbacks (the general "Don't call us, we'll call you" pattern) are a crucial technique for concurrency, event-driven programming (in a disparate variety of fields, from GUIs to parsing), and advanced customization of library and system behavior. This talk covers callback patterns and idioms, their use in the Standard Python library, and best practices in designing and using callback-based interfaces. Speaker: Alex Martelli
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Affichage : 508 Durée : 4029 s
A Possible Future of Software Development
Google Tech Talks July, 25 2007 ABSTRACT This talk begins with an overview of software development at Adobe and a look at industry trends towards systems built around object oriented frameworks; why they "work", and why they ultimately fail to deliver quality, scalable, software. We'll look at a possible alternative to this future, combining generic programming with declarative programming to build high quality, scalable systems. Speaker: Sean Parent Sean Parent is a principal scientist at Adobe Systems and engineering manager of the Adobe Software Technology Lab. One of his team's current projects is the Adobe Source Libraries
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Affichage : 12134 Durée : 3693 s
JRuby: The power of Java and Ruby
Google Tech Talks February, 28 2008 Speaker: Ola Bini I work for ThoughtWorks Studios, and recently published the book Practical JRuby on Rails at APress. I'm very interested in Artificial Intelligence, Lisp, Ruby and the fuzzy lines between languages...
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Affichage : 14263 Durée : 4276 s
Implementing Drupal
Google Tech Talks October, 8 2007 ABSTRACT Geoff Butterfield, Senior Technical Producer at The George Lucas Educational Foundation, and Angie Byron of Lullabot will talk aboout Drupal development and implementation. Speaker: Geoff Butterfield Speaker: Angie Byron
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Affichage : 12263 Durée : 3073 s
Theory and Practice of Cryptography
Google Tech Talks November, 28 2007 Topics include: Introduction to Modern Cryptography, Using Cryptography in Practice and at Google, Proofs of Security and Security Definitions and A Special Topic in Cryptography This talk is one in a series hosted by Google University: Wednesdays, 11/28/07 - 12/19/07 from 1-2pm Speaker: Steve Weis Steve Weis received his PhD from the Cryptography and Information Security group at MIT, where he was advised by Ron Rivest. He is a member of Google's Applied Security (AppSec) team and is the technical lead for Google's internal cryptographic library, KeyMaster.
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Affichage : 11455 Durée : 3245 s
Theory and Practice of Cryptography
Google Tech Talks December, 19 2007 Topics include: Introduction to Modern Cryptography, Using Cryptography in Practice and at Google, Proofs of Security and Security Definitions and A Special Topic in Cryptography This talk is one in a series hosted by Google University: Wednesdays, 11/28/07 - 12/19/07 from 1-2pm Speaker: Steve Weis Steve Weis received his PhD from the Cryptography and Information Security group at MIT, where he was advised by Ron Rivest. He is a member of Google's Applied Security (AppSec) team and is the technical lead for Google's internal cryptographic library, KeyMaster.
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Affichage : 9836 Durée : 5526 s

 

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