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One reason deep learning exploded over the last decade was the availability of programming languages that could automate the math — college-level calculus — that is needed to train each new model. Neu...
In the modern world, many problems have more than one objective. For example, imagine an office in which the meeting scheduling controlled by an autonomous system needs to maximise the comfort levels ...
Enabling the future of making     Enabling  future  making       2016/6/22
During the 2016 Week of Making, the National Science Foundation (NSF) has awarded five, new, early-concept grants to enable the future of do-it-yourself technological innovation known a...
Majoring in making     Majoring  making       2016/6/22
Whether through support for researchers designing new 3-D printing and additive manufacturing technologies or for educators developing new methods for hands-on, exploratory learning, the National Scie...
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...
Software testing is well-recognized as a crucial part of the modern software development process. However, manual testing is labor intensive and often fails to produce impressive coverage results. Ran...
We present a problem class of mixed-integer nonlinear programs (MINLPs) with nonconvex continuous relaxations which stem from economic test scenarios that are used in the analysis of human complex pro...
Consider the chess game: When faced with a complex scenario, how does understanding arise in one’s mind? How does one integrate disparate cues into a global, meaningful whole? how do humans avoid the ...
As agents are built for ever more complex environments, methods that consider the uncertainty in the system have strong advantages. This uncertainty is common in domains such as robot navigation, medi...
In this thesis, we consider instances of component failure in the Internet and in networked cyber-physical systems, such as the communication network used by the modern electric power grid (termed the...
We address the task of unsupervised topic segmentation of speech data operating over raw acoustic information. In contrast to existing algorithms for topic segmentation of speech, our approach does no...
We describe here a comprehensive framework for intelligent information management (IIM) of data collection and decision-making actions for reliable and robust event processing and recognition. This is...
Information is a key factor in emergency management, which helps decision makers to make effective decisions. In this paper, aiming at clarifying the information aggregation laws, and according to the...
This paper presents an effective decision making framework for software selection in manufacturing industries using a multiple criteria decision making method, Preference Ranking Organization Method f...
Despite the increasing knowledge management (KM) awareness and interest among academia and industry, a very diverse range of views and perceptions still exists. There is a need to appreciate the issue...

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