Federal and State government agencies looking for Publishing and ePublishing solutions frequently face similar issues. Our understanding of their requirements is based on many full lifecycle implementations, responses to multiple RFPs, presentations made at pre-solicitation conferences, and our discussions/demonstrations with some of […]
This paper discusses the practical application of Blockchain to a specific set of business processes relevant to the staffing and recruitment industry. Blockchain technology can be used to revamp the business processes and bring a high degree of efficiency to […]
This paper investigates how dynamic properties of reputation can influence the quality of users ranking. Reputation systems should be based on rules that can guarantee a high level of trust and help identifying unreliable units. To understand the effectiveness of […]
This paper discusses whether computers, using Artifical Intelligence (AI), could create art. The first part concerns AI-based tools for assisting with art making. The history of technologies that automated aspects of art is covered, including photography and animation. In each […]
Large-scale rumor spreading could pose severe social and economic damages. The emergence of online social networks along with the new media can even make rumor spreading more severe. Effective control of rumor spreading is of theoretical and practical significance. This […]
State-of-the-art methods of attribute detection from faces (like those used in Appliqant) almost always assume the presence of a full, unoccluded face. Hence, their performance degrades for partially visible and occluded faces. This paper discusses the use of a deep […]
This is a proposed research approach that attempts to shed light on the cyclical nature of education problems and our inability to adequately address these problems. We continually examine bits and pieces of the education process to understand the whole. […]
Information flows motivate key questions in the major social sciences. The movement of social activity to the Internet means that it is now possible to study information flows directly in a much more systematic fashion than before – data on […]
Handwritten mathematical expression recognition is a challenging problem due to the complicated two-dimensional structures, ambiguous handwriting input and variant scales of handwritten math symbols. This paper discusses the attention based encoder-decoder model that recognizes mathematical expression images from two-dimensional layouts […]
This paper presents a micro-traffic simulation (named “DeepTraffic”) where the perception, control, and planning systems for one of the cars are all handled by a single neural network as part of a model-free, off-policy reinforcement learning process. The paper also […]
