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Learn how hardware and software stacks enable not only quick prototyping, but also efficient large-scale production deployments. The tutorial will conclude with a discussion about hands-on deep learning training opportunities as well as free academic teaching materials and GPU cloud platforms for university faculty.
There are in-numerous applications that deal with real scenarios where data are captured over time making them potential candidates for time series analysis. Time series contain temporal dependencies that divide different points in time into different classes. This paper aims at reviewing marriage of a concept i.e. time series modeling with an approach i.e. Machine learning in tackling real life problems...
Trust fosters cooperation in social interactions. It is widely studied in applied and academic disciplines. However, trust is a hard concept to define. Network analysis of the Web of Science citation databases shows it has multiple meanings and applications even within Computer Science. To date general models of trust are essentially conceptual, whereas workable proposals focus on special situations...
Geometrical warp model for alignment is a key issue in image stitching. For robustness, most of the commercial tools for stitching use global parametric warps to bring image into alignment, which is suitable for ideal imaging conditions that the images to be stitched differ purely by rotation or the imaged scene is purely planar. When such conditions are violated alignment artifacts or “ghosting”...
Today, enterprise integration and cross-enterprise collaboration is becoming evermore important. The Internet of things, digitization and globalization are pushing continuous growth in the integration market. However, setting up integration systems today is still largely a manual endeavor. Most probably, future integration will need to leverage more automation in order to keep up with demand. This...
Low temperature plasmas (LTPs) represent enabling sciences and technologies that are arguably responsible for huge swaths of our industrial and high technology infrastructure. The information technology revolution has been singularly enabled by the ability to fabricate microchips using LTPs. Virtually every human implant is fabricated or made biocompatible using LTPs. All non-incandescent lighting...
The saying The whole is greater than the sum of its parts is often attributed to the Greek philosopher Aristotle. In a system, entity interactions give rise to new behavior of the whole or emergent behavior that cannot be reducible to the behavior of the individual entities. As systems grow in size and scale, advancing our understanding of emergent properties is both important and challenging.This...
Cloud computing remains an increasingly popular topic among practitioners as well as researchers. The literature spans across multiple disciplines, and the knowledge is fragmented and not systematized. To address this issue we apply topic models to conduct a meta-review on cloud computing. We identify twenty research topics across multiple disciplines, and demonstrate the use of the approach to conduct...
Deep and wide surveys of the sky have led to a remarkable set of discoveries in cosmology. As the survey volumes become so large that statistical uncertainties almost disappear, cosmological modeling must reach unprecedented levels of scale and accuracy to properly interpret observational results. I will describe the key scientific problems and issues involved and then present the HACC (Hardware/Hybrid...
Over the last fifteen years, computational intelligence applications have proliferated solutions to financial engineering problems, bringing a new fertile area of collaboration between professional engineering and financial communities. Computational systems based on machine learning techniques have become indispensable in virtually all financial applications, from portfolio selection to proprietary...
This paper introduces Developmental Turing Machines (DTMs) as a developmental model for computing machines. A developmental machine is a device that is able to increase its structure and functionality as it operates in interaction with its environment. The model is proposed to overcome some shortcomings of Classical Computation and to frame the future development of the full theory of Developmental...
Assembly language is a foundation courses for science and technology of computers. Computational thinking emphasizes just like computer scientists thinking. It is one of basic skills to solve problems with the computer technology. How to develop student's computational thinking is an urgent question in computer education. This paper analyzes the connotation of computational thinking, the embodiment...
Methods for test and factor analysis of system simulation results are presented in this paper. With small sample of experiment results, the methods can not only effectively solve the problem of correctness and creditability of simulation results, but also analyze the effects of each factor and their interaction. In this way, the methods can guide the modeling and modification of simulation system.
Accurate computational prediction of protein functions increasingly relies on network-inspired models for the protein function transfer. This task can become challenging for proteins isolated in their own network or those with poor or uncharacterized neighborhoods. Here, we present a novel probabilistic chain-graph-based approach for predicting protein functions that builds on connecting networks...
Service recommendation in a Web of services with uncertain QoS is a challenging problem. In this paper, we propose a reputation-based service recommendation framework. We formally define a service reputation model that analyzes the relations between uncertain QoS and reputation. We also devise a two-phase planning approach to constructing a composite service as the recommendation when none of existing...
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