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Nonlinear dynamics play a prominent role in many domains and are notoriously difficult to solve. Whereas previous quantum algorithms for general nonlinear equations have been severely limited due to t...
As the device size shrinks to nanosize scale, the quantum mechanical effect and atomic level fluctuations become important. The traditional TCAD based on continuous medium model will no longer work. T...
A combination of ecological field methods and cutting-edge artificial intelligence has helped an interdisciplinary research group detect eelgrass wasting disease at nearly three dozen sites along a 1,...
Perovskites are a family of materials that are currently the leading contender to potentially replace today’s silicon-based solar photovoltaics. They hold the promise of panels that are far thinner an...
The workshop will mark the last of the ImageNet Challenge competitions, and focus on unanswered questions and directions for the future. The workshop will 1) present current results on the challenge c...
This workshop provides an opportunity to share and discuss with frontier researches on small-scale robotics and systems for developing the “Biohybrid Machine”. This innovative research field is import...
Scaling up machine-learning (ML), data mining (DM) and reasoning algorithms from Artificial Intelligence (AI) for massive datasets is a major technical challenge in the time of "Big Data". The past te...
Many Internet-of-Things (IoT) applications require real-time analytics to maintain situational awareness and make decisions for quick action. Most real-world IoT environments will involve: · Multi-la...
Over the past few decades, human recognition has been extensively studied. Most of the research concentrates on typical physiological traits, e.g., face, fingerprint, voice, etc., which are usually di...
Most of the focus in public cloud computing technology over the last 10 years has been on massive, centralized data centers with thousands or hundreds of thousands of servers. The data centers are typ...
The deployment of extreme scale computing platforms in research and industry coupled with the proliferation of large and distributed digital data sources have the potential for unprecedented insights ...
Modern Big Data increasingly appears in the form of complex networks and graphs. Examples include social networks, citation networks, communication networks, the World Wide Web. Researchers make use o...
Making Set-Constraint Program Analyses Scale     Making  Set-Constraint Program  Analyses Scale       font style='font-size:12px;'> 2016/5/24
Constraint-based program analyses are appealing because elaborate analyses can be described with a concise and simple set of constraint generation rules. Constraint resolution algorithms have been dev...
Multi-Scale Banking to 45o     line charts  time-series  sparklines  graphical perception       font style='font-size:12px;'> 2016/5/24
In his text Visualizing Data, William Cleveland demonstrates how the aspect ratio of a line chart can affect an analyst’s perception of trends in the data. Cleveland proposes an optimization techniqu...
Crowd-scale Interactive Formal Reasoning and Analytics     MOOC  theorem prover  formal logic  online education       font style='font-size:12px;'> 2016/5/24
Large online courses often assign problems that are gradable by simple checks such as multiple choice, but these checks are inappropriate for domains in which students may produce an infinity of corre...

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