Network utility maximization (NUM) is a well-studied problem for network traffic management and resource allocation. Because of the inherent decentralization and complexity of networks, most researches develop decentralized NUM algorithms. In recent...
Creative image generation has emerged as a compelling area of research, driven by the need to produce novel and high-quality images that expand the boundaries of imagination. In this work, we propose a novel framework for creative generation using di...
Socially interactive agents (SIAs) are no longer mere visions for future user interfaces, as 20 years of research and technology development has enabled the use of virtual and physical agents in day-to-day interfaces and environments. This chapter of...
5 days ago · Podcasts have officially overtaken AM/FM talk radio as the more popular medium for spoken word audio in the United States, according to Edison Research’s Share of Ear survey. The …
5 days ago · Podcasts have officially overtaken AM/FM talk radio as the more popular medium for spoken-word audio in the United States, according to Edison Research’s Share of Ear survey. The …
4 days ago · ? Featured story Last year, podcasts surpassed AM/FM talk radio in total listening time for the first time in the U.S., according to a new study from Edison Research. Among Americans ages 13 …
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The content of today's social media is becoming more and more rich, increasingly mixing text, images, videos, and audio. It is an intriguing research question to model the interplay between these different modes in attracting user attention and engag...
Catsteroseismology, or asterocatsmology, is an unexplored area of observational and theoretical research that proposes to use purr-mode oscillations to study the much-beloved but poorly-understood species Felis catus. In this work, we conduct a surve...
Understanding the ways in which information achieves widespread public awareness is a research question of significant interest. We consider whether, and how, the way in which the information is phrased --- the choice of words and sentence structure...
Generative adversarial network (GAN) continues to be a popular research direction due to its high generation quality. It is observed that many state-of-the-art GANs generate samples that are more similar to the training set than a holdout testing set...
For the Royal Society Summer Science Exhibition 2016, the Institute of Computational Cosmology from Durham University created the Galaxy Makers exhibit to communicate our computational cosmology and astronomy research. In addition to the physical exh...
Meshes are the de facto 3D representation in the industry but are labor-intensive to produce. Recently, a line of research has focused on autoregressively generating meshes. This approach processes meshes into a sequence composed of vertices and then...
With the increasing deployment of artificial intelligence (AI) technologies, the potential of humans working with AI agents has been growing at a great speed. Human-AI teaming is an important paradigm for studying various aspects when humans and AI a...
Élisabeth Charlaix (born 23 October 1958), is a French physicist. She is a professor at the Université Grenoble Alpes, where she researches fluid mechanics
Mar 31, 2022 · Before the invention of the World Wide Web (WWW), the earliest internet users were mainly researchers and military personnel. The network was complicated and, although it was …
Time dependent data is a main source of information in today's data driven world. Generating this type of data though has shown its challenges and made it an interesting research area in the field of generative machine learning. One such approach was...
Passive acoustic monitoring is a sustainable method of monitoring wildlife and environments that leads to the generation of large datasets and, currently, a processing backlog. Academic research into automating this process is focused on the applicat...
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The rapid expansion of global cloud infrastructures, coupled with the growing volume and complexity of network traffic, has fueled active research into scalable and resilient Traffic Engineering (TE) solutions for Wide Area Networks (WANs). Despite r...