LATAM 2011: Cloud Computing for Science in Europe and VENUS-C and Towards Exaflop Supercomputers
NULL
24
Latam 2011: Laccir Projects
Bridging the Gap Between Formal and Informal Learning with Mobile Devices and 'Counting People Waiting in Service Lines Using Computer Vision and Machine Learning Techniques'
22
Analyzing Large-Scale Object-Oriented Software to Find, Remove, and Prevent Runtime Bloat
Over the past decade, the pervasive use of advanced object-oriented languages like Java and the increasing complexity of tasks accomplished by software have led to the proliferation of large
68
37
LATAM 2011: Tools of the Trade: Cluster & Cloud Computing on the Operating System that is not Linux!
NULL
37
Minimal Multithreading - Exploiting Redundancy in Parallel Systems
Parallelism and energy efficiency have emerged as critical considerations in future computing systems.
117
Scalable Management of Enterprise and Data Center Networks
The networks in campuses, companies, and data centers are growing larger and becoming more complicated to manage.
131
Latam 2011: Laccir & Fapesp Projects
LACCIR & FAPESP Projects ΓÇ£Live Andes (Advanced Network for the Distribution of Endangered Species): A New Tool for Wildlife ConservationΓÇ¥ Cristian Bonacic, Professor, Ecosystems and Environment
16
Collaborative Information Seeking: The Art & Science of Making the Whole Greater than the Sum of All
It is typically expected that when people work together, they can often accomplish goals that are difficult or even impossible for individuals.
411
68.2
Human-Computer Persuasive Interaction: Designing the emotional bond with customers
For several years, computing products were designed mainly with the purpose of increasing efficiency and productivity at work.
615
50.9
Photographing events over time
Artists and scientists have used photography to portray events occurring over a broad range of timescales, from pico-seconds to tera-seconds.
24
LATAM 2011: Plenary Session - The Path to Open Science with Illustrations from Computational Biology
NULL
14
Robust Semi-Supervised Learning
Semi-supervised learning algorithms are designed to learn an unknown concept from a partially-labeled data set of training examples.
3 015
41.5
Learning Efficient Nash Equilibria in Distributed Systems
An individualΓÇÖs learning rule is completely uncoupled if it does not depend on the actions or payoffs of anyone else.
262
Data Triggered Threads -- Eliminating Redundant Computation
This talk will introduce a new programming/architectural execution model for parallel threads.
113
LATAM 2011: Scaling Science in the Cloud: From Satellite to Science Variables with MODISAzure
Harold Javid speaking for Catharine van Ingen
8
LATAM 2011: Science, Technology and Innovation Strategies for Promoting Competitiveness
Keynote Panel Session ΓÇ£Science, Technology and Innovation Strategies for Promoting CompetitivenessΓÇ¥ Dr.
13
Functional connectomics of neural networks
Local circuits in the cerebral cortex consist of tens of thousands of neurons, each of which makes and receives thousands of connections.
243
Decision-Theoretic Control for Crowdsourcing
Crowd-sourcing is a recent framework in which human intelligence tasks are outsourced to a crowd of unknown people (ΓÇ¥workersΓÇ¥) as an open call (e.g., on AmazonΓÇÖs Mechanical Turk).
55
Protecting Circuits from Leakage: The Computationally-Bounded and Noisy Cases
Joint work with Sebastian Faust, Tal Rabin, Eran Tromer, and Vinod Vaikuntanathan Computational devices leak side-channel information that may, and often does, reveal secret internal states.
134
41
Improving server efficiency through exception-less system calls
Server applications, such as databases and web servers, are notorious for executing poorly on modern processors, specially when compared to scientific applications.
109