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User: jcisio

Microsoft surface computer Microsoft surface computer (uploaded by tintucvienthong.com) Tags: computer

User: Google

Academic Cluster Computing Initiative In October 2007, Google announced that it was partnering with IBM to provide largescale cluster computing resources to undergraduate computer science students along with a creative commons licensed curriculum. Using the cluster and curriculum as a starting point, students have been able to develop some compelling projects. Tags: ibm google academic cluster computing initiative UW mapreduce gfs hadoop

User: joyent

What is Cloud Computing At the Web 2.0 Expo, we asked Tim O'Reilly, Dan Farber, Matt Mullenweg, Jay Cross, Brian Solis, Kevin Marks, Steve Gillmor, Jeremy Tanner, Maggie Fox, Tom McGovern, Sam Lawrence, Stowe Boyd, David Tebbutt, Dave McClure, Chris Carfi, Vamshi Krishna and Rod Boothby the same question: "What is Cloud Computing?". Here's what we got. (more) Tags: Cloudcomputing cloud+computing Joyent AWS EC2 S3 Mosso GAE GoogleAppEngine Rails Timoreilley StoweBoyd MattMullenweg

User: googletechtalks

Quantum Computing Day 1: Introduction to Quantum Computing Google Tech Talks December, 6 2007 ABSTRACT This tech talk series explores the enormous opportunities afforded by the emerging field of quantum computing. The exploitation of quantum phenomena not only offers tremendous speed-ups for important algorithms but may also prove key to achieving genuine synthetic intelligence. We argue that understanding higher brain function requires references to quantum mechanics as well. These talks look at the topic of quantum computing from mathematical, engineering and neurobiological perspectives, and we attempt to present the material so that the base concepts can be understood by listeners with no background in quantum physics. This first talk of the series introduces the basic concepts of quantum computing. We start by looking at the difference in describing a classical and a quantum mechanical system. The talk discusses the Turing machine in quantum mechanical terms and introduces the notion of a qubit. We study the gate model of quantum computing and look at the famous quantum algorithms of Deutsch, Grover and Shor. Finally we talk about decoherence and how it destroys superposition states which is the main obstacle to building large scale quantum computers. We clarify widely held misconceptions about decoherence and explain that environmental interaction tends to choose a basis in state space in which the system decoheres while leaving coherences in other coordinate systems intact. Speaker: Hartmut Neven Tags: google techtalks techtalk engedu talk talks googletechtalks education

User: googletechtalks

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. Tags: google techtalks techtalk engedu talk talks googletechtalks education

User: googletechtalks

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. Tags: google techtalks techtalk engedu talk talks googletechtalks education

User: googletechtalks

Faculty Summit 2008 Day 1: Computing at Scale Google Tech Talks July 24, 2008 ABSTRACT Faculty Summit 2008 - Day 1 Computing at Scale: Challenges & Opportunities - Urs Hoelzle, Rob Pike, Ed Lazowska, & Jeannette Wing The frontiers of computer science are being increasingly impacted by computing at very large scale: that is on very large scale computing systems (perhaps in the cloud) with possibly significant dependence on large scale data sets and/or on systems with shared use by vast populations. This panel will explore the potential opportunities and challenges in computer science research in this space. Speakers: Urs Hoelzle, Rob Pike, Ed Lazowska, & Jeannette Wing Tags: google techtalks techtalk engedu talk talks googletechtalks education

User: googletechtalks

Faculty Summit 2008 Day 1: Power and Green Computing Google Tech Talks July 24, 2008 ABSTRACT Faculty Summit 2008 - Day 1 Power and Green Computing - Bill Weihl Google continues to grow, and the infrastructure that underpins that growth depends on electricity. We will discuss a number of the challenges and opportunities in making our infrastructure greener. How can we make our servers and data centers more energy efficient? How can we reduce the environmental impact of the energy that we do consume? Speaker: Bill Weihl Tags: google techtalks techtalk engedu talk talks googletechtalks education

User: googletechtalks

Rapid Prototyping of Ubiquitous Computing Applications: Tools & Frameworks Google Tech Talks March, 24 2008 ABSTRACT Yang Li - RESEARCH SCIENTIST Pervasive or ubiquitous computing (ubicomp) applications can support people's everyday activities in the physical world by leveraging advances in sensor technologies and computing infrastructures. Designing ubicomp applications is challenging because our everyday activities are more complex, dynamic and less structured than the tasks supported by traditional desktop computing. Ubicomp design is difficult, time-consuming, and requires a high level of technical expertise, especially with sensor technologies. To address this, I created a set of rapid prototyping tools and frameworks. My early work with Topiary introduces high-level abstractions, such as maps and scenarios, for designers to easily model location contexts and specify location-based behaviors. Topiary also allows a design to be tested in the field via a Wizard of Oz approach, without deploying a location sensor infrastructure. My recent work is focused on activity-based ubicomp prototyping, a process for enabling long-term activities (such as keeping fit)—a larger unit for design than the tasks that are the focus of traditional design. To support such a process, I created ActivityDesigner, a system that allows designers to create functional prototypes of ubicomp applications based on field observations, and easily deploy and test these prototypes in situ. Speaker: Yang Li - RESEARCH SCIENTIST Yang Li is a research associate in the Computer Science and Engineering Department at the University of Washington. He works in the areas of human-computer Interaction and ubiquitous computing, focusing on activity-based ubiquitous computing, rapid prototyping tools and pen-based interaction techniques. Previously, he was a postdoctoral researcher in EECS at the University of California at Berkeley. He received his PhD in computer science from the Chinese Academy of Sciences. Tags: google techtalks techtalk engedu talk talks googletechtalks education

User: GoogleDevelopers

Cluster Computing and MapReduce Lecture 1 Lecture 1 in a five part series introducing mapreduce and cluster computing. See http://code.google.com/edu/content/submissions/mapreduce-minilecture/listing.html for slides and other resources. Tags: mapreduce gfs hadoop cluster computing distributed parallel

User: googletechtalks

Quantum Computing Day 2: Image Recognition with an Adiabatic Quantum Computer Google Tech Talks December, 13 2007 ABSTRACT This tech talk series explores the enormous opportunities afforded by the emerging field of quantum computing. The exploitation of quantum phenomena not only offers tremendous speed-ups for important algorithms but may also prove key to achieving genuine synthetic intelligence. We argue that understanding higher brain function requires references to quantum mechanics as well. These talks look at the topic of quantum computing from mathematical, engineering and neurobiological perspectives, and we attempt to present the material so that the base concepts can be understood by listeners with no background in quantum physics. In this second talk, we make the case that machine learning and pattern recognition are problem domains well-suited to be handled by quantum routines. We introduce the adiabatic model of quantum computing and discuss how it deals more favorably with decoherence than the gate model. Adiabatic quantum computing can be understood as an annealing process that outperforms classical approaches to optimization by taking advantage of quantum tunneling. We also discuss the only large-scale adiabatic quantum hardware that exists today, built by D-Wave. We present detailed theoretical and experimental evidence showing that the D-Wave chip does indeed operate in a quantum regime. We report about an object recognition system we designed using the adiabatic quantum computer. Our system uses a combination of processing steps, where some are executed on classical hardware while others take advantage of the quantum chip. Both interest point selection and feature extraction are accomplished using classical filter operations reminiscent of receptive field properties of neurons in the early visual pathways. Image matching then proceeds by maximizing geometrical consistency and similarity between corresponding feature points, which is an NP-hard optimization problem. To obtain good solutions, we map this to the problem of finding the minimum energy in an Ising model in which the vertices represent candidate match pairs, bias terms reflect feature similarity, and interaction terms account for geometric consistency. The adiabatic quantum computer is then employed to find a low energetic minimum of the Ising dynamics. We conclude with a look towards which type of machine learning problems maybe most suitable for mapping to a quantum computing architecture. Speaker: Hartmut Neven Speaker: Dr. Geordie Rose Geordie Rose is a founder and CTO of D-Wave. He is known as a leading advocate for quantum computing and physics-based processor design, and has been invited to speak on these topics in venues ranging from the 2003 TED Conference to Supercomputing 2005. His innovative and ambitious approach to building quantum computing technology has received coverage in BC Business, The Vancouver Sun, Vancouver magazine, The Globe and Mail, The National Post, USA Today, MIT Technology Review magazine, the Harvard Business Review and Business 2.0 magazine, and one of his business strategies was profiled in a Harvard Business School case study. He has received several awards and accolades for his work with D-Wave, including being short-listed for a 2005 World Technology Award. Dr. Rose holds a PhD in theoretical physics from the University of British Columbia, specializing in quantum effects in materials. While at McMaster University, he graduated first in his class with a BEng in Engineering Physics, specializing in semiconductor engineering. Since the inception of D-Wave in 1999, Dr. Rose, as founding CEO, raised over $45M on behalf of the company, including a round led by Draper Fisher Jurvetson (DFJ) — the first ever investment by a top-tier US venture capital firm in quantum computing. Tags: google techtalks techtalk engedu talk talks googletechtalks education

User: lockergnome

The Future of the Operating System - Cloud Computing? http://live.pirillo.com - Datalore brought up an excellent point during a conversation with Wirelesspacket and myself recently. The future of the Operating System most definitely IS in Cloud computing. Tags: video help info information lockergnome pirillo gadgets blog cloud operatingsystem os cloudcomputing google linux prank

User: uchannel

Computing in the Cloud - Introduction Agenda: A workshop by Princeton University`s Center for Information Technology Policy brings together experts from computer science, law, politics and industry to explore the social and policy implications of `computing in the cloud`. "Computing in the cloud" is one name for services that run in a Web browser and store information in a provider's data center — ranging from adaptations of familiar tools such as email and personal finance to new offerings such as virtual worlds and social networks. Introductory remarks: David Robinson, H. Vincent Poor, Ed Felten Tags: uchannel citp citpcloudcomputing technology computers internet

User: GoogleDevelopers

Cluster Computing and MapReduce Lecture 2 Lecture 2: The MapReduce programming model. See http://code.google.com/edu/content/submissions/mapreduce-minilecture/listing.html for slides and other resources. Tags: mapreduce gfs hadoop cluster computing distributed parallel

User: siva001

amazon's cloud computing amazon's cloud computing Tags: amazon cloud computing

User: googletechtalks

GTAC 2008: Using Cloud Computing to Automate Full-Scale System Tests Google Tech Talks October 23, 2008 ABSTRACT GTAC 2008: Using Cloud Computing to Automate Full-Scale System Tests The Third Annual Google Test Automation Conference (GTAC), Seattle, WA, Oct. 23rd and 24th. Speaker: Marc-Elian Begin Tags: google techtalks techtalk engedu talk talks googletechtalks education

User: GoogleDevelopers

Cluster Computing and MapReduce Lecture 3 Lecture 3: The Google File System. See http://code.google.com/edu/content/submissions/mapreduce-minilecture/listing.html for slides and other resources. Tags: mapreduce gfs hadoop cluster computing distributed parallel

User: oldthinkernews

Ubiquitous Computing: Big Brother's All-Seeing Eye - Part 1 An "Everyware" world, as Adam Greenfield calls it, is a world in which computers are embedded and merged seamlessly everywhere in the environment. Radio Frequency Identification (RFID) tags communicate their position and other information constantly in a vast network. Everyday objects become "searchable" as if they were part of the interconnected world wide web. In this interconnected internet of things, scientific management and surveillance of people and the environment we inhabit becomes possible, and marketers' ultimate dreams come true. For more information and citation see: http://oldthinkernews.com/Articles/oldthinker%20news/orwellian_ubiquitous_computing.htm and: http://www.oldthinkernews.com/Articles/oldthinker%20news/world_in_2025.htm Tags: ubiquitous computing pervasive ambient intelligence big brother surveillance future technology www.oldthinkernews.com

User: Calit2ube

Computing Beyond Turing - Jeff Hawkins Coaxing computers to perform basic acts of perception and robotics, let alone high-level thought, has been difficult. No existing computer can recognize pictures, understand language, or navigate through a cluttered room with anywhere near the facility of a child. Hawkins and his colleagues have developed a model of how the neocortex performs these and other tasks. The theory, call Hierarchical Temporal Memory, explains how the hierarchical structure of the neocortex builds a model of its world and uses this model for inference and prediction. To turn this theory into a useful technology, Hawkins has created a company called Numenta. In this talk, Hawkins will describe the theory, its biological basis, and a software platform created by Numenta that allows anyone to apply this theory to a variety of problems. Part of this theory was described in Hawkins' 2004 book, "On Intelligence". This talk is by the Chairman of the Redwood Neuroscience Institute and co-founder of Palm Computing and Handspring, and is co-sponsored by Calit2 at UCSD, the Jacobs School's Computer Science and Engineering (CSE)department, and the Institute for Neural Computation (INC). Tags: Jeff Hawkins UCSD Hierarchical Temporal Memory

User: GoogleDevelopers

Cluster Computing and MapReduce Lecture 4 Lecture 4: Clustering Algorithms with MapReduce. See http://code.google.com/edu/content/submissions/mapreduce-minilecture/listing.htmlfor slides and other resources. Tags: mapreduce gfs hadoop cluster computing distributed parallel

User: googletechtalks

Quantum Computing Day 3: Does an Explanation of Higher Brain Function require... Google Tech Talks January, 10 2008 ABSTRACT Syllabus and Recommended Literature This tech talk series explores the enormous opportunities afforded by the emerging field of quantum computing. The exploitation of quantum phenomena not only offers tremendous speed-ups for important algorithms but may also prove key to achieving genuine synthetic intelligence. We argue that understanding higher brain function requires references to quantum mechanics as well. These talks look at the topic of quantum computing from mathematical, engineering and neurobiological perspectives, and we attempt to present the material so that the base concepts can be understood by listeners with no background in quantum physics. In this third talk we review the history of the theory that quantum effects are essential to understanding brain function. We look at the theory of Penrose and Hameroff and its refutation by the decoherence calculations of Tegmark. Our experiments with pattern recognition using a quantum computer teach new lessons on which type of problems the brain may solve by quantum processes and how the data flow might look. Specifically, we conjecture that computations that are not time-critical and which require the solution of a global optimization problem are good candidates for brain processes facilitated by quantum phenomena. We then study situations in which coherence could be maintained to be of behavioral relevance as well as recent findings that show the relevance of coherence in basic biological processes such as photo synthesis and enzyme function. We advance a speculative theory that mental states induced by tryptamines might come about by enhancing the propensity of the brain to relegate certain computations to quantum annealing. We argue that by virtue of being a physical substrate the brain exists in a global superposition with the environment and participates in information exchange via fundamental physical interactions. This regime becomes relevant in situations in which neural dynamics is less driven by sensory input or behavioral affordances. Studying multiple corpora of reports describing experiences mediated by the psychoactive brew ayahuasca, we argue that our model outperforms a more mainstream neurobiological explanation based on neural assemblies. Speaker: Hartmut Neven Tags: google techtalks techtalk engedu talk talks googletechtalks education

User: googletechtalks

A Dynamic Network Layer for Advanced Cloud Computing Google Tech Talks September 2, 2008 ABSTRACT In recent years, cloud computing has emerged as an attractive tool for delivering web-based services. Cloud computing enables rapid deployment of new services and allows those services to scale dynamically, in response to changing user demand. However, the range of cloud computing applications is constrained by limitations of the Internet service model. New network level services are needed to enable advanced applications that include real-time, person-to-person communication. This talk discusses how to add a dynamic network layer to cloud computing infrastructures, to enable the rapid introduction of new network services in support of advanced applications. Speaker: Jonathan S. Turner Jonathan S. Turner received the MS and PhD degrees in computer science from Northwestern University in 1979 and 1981. He holds the Barbara and Jerome Cox Chair of Computer Science at Washington University, is Chairman of the Department of Computer Science and Engineering and Director of the Applied Research Lab. The Applied Research Laboratory creates experimental networking technology to validate and demonstrate new research innovations. The Lab's current projects center on extensible networking technology with a particular focus on high performance platforms for overlay hosting services. Professor Turner served as Chief Scientist for Growth Networks, a startup company that developed scalable switching components for Internet routers and ATM switches, before being acquired by Cisco Systems in early 2000. Turner is a member of the National Academy of Engineering, a fellow of ACM and a fellow of the IEEE. He received the Koji Kobayashi Computers and Communications Award from the IEEE in 1994 and the IEEE Millenium Medal in 2000. He has been awarded 30 patents for his work on switching systems and has many widely cited publications. Tags: google techtalks techtalk engedu talk talks googletechtalks education

User: uchannel

Computing in the Cloud - What's next? What new services might develop, and how will today's services evolve? How well will cloud computing be likely to serve users, companies, investors, government, and the public over the longer run? Which social and policy problems will get worse due to cloud computing, and which will get better? Moderator: Andrea LaPaugh (home page) — Professor of Computer Science, Princeton University Reihan Salam — The Atlantic Monthly Jesse Robbins — O'Reilly Radar Jonathan Rochelle — Google Tags: uchannel citpcloudcomputing computers technology internet princeton

User: googletechtalks

Computing for the Future of the Planet - Originally given at the Royal Society Google Tech Talks May, 14 2008 ABSTRACT Digital technology is becoming an indispensable and crucial component of our lives, society, and environment. A framework for computing in the context of problems facing the planet will be presented. The framework has a number of goals: an optimal digital infrastructure, sensing and optimising with a global world model, reliably predicting and reacting to our environment, and digital alternatives to physical activities. This talk will be taped. Speaker: Andy Hopper Andy Hopper is Professor of Computer Technology at the University of Cambridge and Head of the Computer Laboratory. His research interests include networking, pervasive and sentient computing, and using computers for assuring the sustainability of the planet. He is a Fellow of Corpus Christi College. Andy Hopper has pursued academic and industrial careers in parallel. In the academic career he has worked in the Computer Laboratory and the Department of Engineering at Cambridge. In the industrial career he has worked in senior roles for multinational companies and also co-founded a dozen spin-outs and start-ups, two of which floated on stock markets. He is currently chairman of RealVNC, Ubisense and Adventiq, and a director of Solarflare. Professor Hopper received the BSc degree from the University of Wales Swansea (1974) and the PhD degree from the University of Cambridge (1978). He is a Fellow of the Royal Academy of Engineering (1996) and of the Royal Society (2006). He was made a CBE for services to the computer industry (2007). Tags: google techtalks techtalk engedu talk talks googletechtalks education

User: AtGoogleTalks

Google D.C. Talks: Cloud Computing Cloud Computing: Navigating the next frontier As part of the Google D.C. Talks series, John Horrigan of the Pew Internet Project presents a new research report, "Use of Cloud Computing Applications and Services." Panelists Daniel Burton of Salesforce.com, Mike Nelson of Georgetown University, and Ari Schwartz of the Center for Democracy and Technology, respond to the new report and share their own views on this new computing model. This event took place on September 12, 2008 at Google's offices in Washington, D.C. Tags: Google D.C. Cloud Computing John Horrigan Daniel Burton Mike Nelson

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