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Fully harvesting the gain of multiple-input and multiple-output (MIMO) requires accurate channel information. However, conventional channel acquisition methods mainly rely on pilot training signals, resulting in significant training…

Information Theory · Computer Science 2024-09-26 Shuaifeng Jiang , Qi Qu , Xiaqing Pan , Abhishek Agrawal , Richard Newcombe , Ahmed Alkhateeb

At the frontier of most areas in science, computer simulations play a central role. The traditional division of natural science into experimental and theoretical investigations is now completely outdated. Instead, theory, simulation, and…

Astrophysics · Physics 2008-11-26 Piet Hut

Services for Cyber-Physical Systems based on Artificial Intelligence and Machine Learning require a virtual representation of the physical. To reduce modeling efforts and to synchronize results, for each system, a common and unique virtual…

Artificial Intelligence · Computer Science 2020-10-28 Oliver Niggemann , Alexander Diedrich , Christian Kuehnert , Erik Pfannstiel , Joshua Schraven

One of the main challenges of advancing task-oriented learning such as visual task planning and reinforcement learning is the lack of realistic and standardized environments for training and testing AI agents. Previously, researchers often…

Human-Computer Interaction · Computer Science 2019-03-15 Xiaofeng Gao , Ran Gong , Tianmin Shu , Xu Xie , Shu Wang , Song-Chun Zhu

In the world of technology and AI, digital models play an important role in our lives and are an essential part of the digital twins of real-world objects. They can be created by designers, artists, or game developers using spline curves…

Graphics · Computer Science 2025-05-20 Rushan Ziatdinov , Rifkat Nabiyev

Recent technological developments and advances in Artificial Intelligence (AI) have enabled sophisticated capabilities to be a part of Digital Twin (DT), virtually making it possible to introduce automation into all aspects of work…

Software Engineering · Computer Science 2022-01-19 Ashwin Agrawal , Martin Fischer , Vishal Singh

Decentralised online learning enables runtime adaptation in cyber-physical multi-agent systems, but when operating conditions change, learned policies often require substantial trial-and-error interaction before recovering performance. To…

Training robot policies in the real world can be unsafe, costly, and difficult to scale. Simulation serves as an inexpensive and potentially limitless source of training data, but suffers from the semantics and physics disparity between…

Robotics · Computer Science 2024-10-22 Tianyuan Dai , Josiah Wong , Yunfan Jiang , Chen Wang , Cem Gokmen , Ruohan Zhang , Jiajun Wu , Li Fei-Fei

Digital twin networks (DTNs) are real-time replicas of physical networks. They are emerging as a powerful technology for design, diagnosis, simulation, what-if-analysis, and artificial intelligence (AI)/machine learning (ML) driven…

Networking and Internet Architecture · Computer Science 2022-12-06 Xingqin Lin , Lopamudra Kundu , Chris Dick , Emeka Obiodu , Todd Mostak

Residential colleges and universities face unique challenges in providing in-person instruction during the COVID-19 pandemic. Administrators are currently faced with decisions about whether to open during the pandemic and what modifications…

Populations and Evolution · Quantitative Biology 2020-12-22 Philip T. Gressman , Jennifer R. Peck

We live in a world of exploding complexity driven by technical evolution as well as highly volatile socio-economic environments. Managing complexity is a key issue in everyday decision making such as providing safe, sustainable, and…

Computers and Society · Computer Science 2023-11-28 Dirk Hartmann

Modern supercomputers can handle resource-intensive computational and data-driven problems in various industries and academic fields. These supercomputers are primarily made up of traditional classical resources comprising CPUs and GPUs.…

Quantum Physics · Physics 2024-11-01 Soronzonbold Otgonbaatar , Elise Jennings

The emergence of the world-wide COVID-19 pandemic has forced academic conferences to be held entirely in a virtual manner. While prior studies have advocated the merits of virtual conferences in terms of energy and cost savings, organizers…

Computers and Society · Computer Science 2020-08-20 Dan Wang , Arun Vishwanath , Ramesh Sitaraman , Iven Mareels

This paper reports on students' readiness for using Metaverse for education in a university in a developing country facing infrastructure and poverty challenges. Covid-19 forced many universities to adopt a hybrid approach to teaching and…

Computers and Society · Computer Science 2023-10-24 Malcolm Garbutt , Ilhaam Ismail , Calvineo Juries , Raeez Adams

Digital twins are models of real-world systems that can simulate their dynamics in response to potential actions. In complex settings, the state and action variables, and available data and knowledge relevant to a system can constantly…

Computation and Language · Computer Science 2025-07-23 Harry Amad , Nicolás Astorga , Mihaela van der Schaar

Network Digital Twins represent a key technology in future networks, expected to provide the capability to perform accurate analysis and predictions about the behaviour of 6G mobile networks. However, despite the availability of several…

Networking and Internet Architecture · Computer Science 2025-10-15 Cristina Emilia Costa , Tatenda Horiro Zhou , Fabrizio Granelli

Virtual reality is the way of the future. The use of virtual reality is expanding over time across all sectors, from the entertainment industry to the military and space. VREd is a similar concept where a virtual reality-based classroom is…

Computers and Society · Computer Science 2023-04-24 Ratun Rahman , Md Rafid Islam

The Digital Twin is a well-known concept of industry 4.0 and is the cyber part of a cyber-physical production system providing several benefits such as virtual commissioning or predictive maintenance. The existing production systems are…

Software Engineering · Computer Science 2023-10-17 Dominik Braun , Nasser Jazdi , Wolfgang Schloegl , Michael Weyrich

Digital Twins have been described as beneficial in many areas, such as virtual commissioning, fault prediction or reconfiguration planning. Equipping Digital Twins with artificial intelligence functionalities can greatly expand those…

Machine Learning · Computer Science 2021-08-31 Benjamin Maschler , Dominik Braun , Nasser Jazdi , Michael Weyrich

The onset of the COVID-19 pandemic in 2020 has greatly impacted all forms of social activities globally, including traditional classroom activities across all levels of instruction (kindergarten to universities). While many countries have…

Physics Education · Physics 2021-09-15 Da Yang Tan , Jer-Ming Chen
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