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Related papers: Superconnexivity Reconsidered

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Link prediction has aroused extensive attention since it can both discover hidden connections and predict future links in the networks. Many unsupervised link prediction algorithms have been proposed to find these links in a variety of…

Social and Information Networks · Computer Science 2021-05-10 Jingwei Wang , Yunlong Ma , Yun Yuan

We analyze critically a recent proposal of faster than light communication.

Quantum Physics · Physics 2014-11-05 GianCarlo Ghirardi

Social bots are currently regarded an influential but also somewhat mysterious factor in public discourse and opinion making. They are considered to be capable of massively distributing propaganda in social and online media and their…

Social and Information Networks · Computer Science 2017-06-26 Christian Grimme , Mike Preuss , Lena Adam , Heike Trautmann

Theories of innovation emphasize the role of social networks and teams as facilitators of breakthrough discoveries. Around the world, scientists and inventors today are more plentiful and interconnected than ever before. But while there are…

Computers and Society · Computer Science 2023-10-27 Yiling Lin , Carl Benedikt Frey , Lingfei Wu

The accelerated path of technological development, particularly at the interface between hardware and biology has been suggested as evidence for future major technological breakthroughs associated to our potential to overcome biological…

Neurons and Cognition · Quantitative Biology 2017-05-18 Ricard Sole

Perhaps, it is not too far from the truth to say that, among the great concepts (as compactness, completeness, order, convexity) on which functional analysis is based, connectedness is relatively less popular, though this does not mean that…

Functional Analysis · Mathematics 2007-05-23 Biagio Ricceri

We present hyper-connections, a simple yet effective method that can serve as an alternative to residual connections. This approach specifically addresses common drawbacks observed in residual connection variants, such as the seesaw effect…

Machine Learning · Computer Science 2025-03-19 Defa Zhu , Hongzhi Huang , Zihao Huang , Yutao Zeng , Yunyao Mao , Banggu Wu , Qiyang Min , Xun Zhou

Telepresence and teleoperation robotics have attracted a great amount of attention in the last 10 years. With the Artificial Intelligence (AI) revolution already being started, we can see a wide range of robotic applications being realized.…

Robotics · Computer Science 2022-03-08 Hrishav Bakul Barua , Ashis Sau , Ruddra dev Roychoudhury

The renaissance of artificial neural networks was catalysed by the success of classification models, tagged by the community with the broader term supervised learning. The extraordinary results gave rise to a hype loaded with ambitious…

Machine Learning · Computer Science 2021-06-24 Alex Hernandez-Garcia

" How well connected is the network? " This is one of the most fundamental questions one would ask when facing the challenge of designing a communication network. Three major notions of connectivity have been considered in the literature,…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-01-07 Pierre Fraigniaud , Amos Korman , Shay Kutten , David Peleg , Emek Yuval

Short discussion trying to explain, why superconductivity revealed for some diborides is not always confirmed in experiments of different research groups.

Superconductivity · Physics 2007-05-23 D. Kaczorowski , J. Klamut , A. J. Zaleski

Semi-supervised learning, which has emerged from the beginning of this century, is a new type of learning method between traditional supervised learning and unsupervised learning. The main idea of semi-supervised learning is to introduce…

Machine Learning · Computer Science 2019-05-29 Enmei Tu , Jie Yang

Research on social bots aims at advancing knowledge and providing solutions to one of the most debated forms of online manipulation. Yet, social bot research is plagued by widespread biases, hyped results, and misconceptions that set the…

Social and Information Networks · Computer Science 2025-07-30 Stefano Cresci , Kai-Cheng Yang , Angelo Spognardi , Roberto Di Pietro , Filippo Menczer , Marinella Petrocchi

Connectivity - or the lack thereof - is crucial for the function of many man-made systems, from financial and economic networks over epidemic spreading in social networks to technical infrastructure. Often, connections are deliberately…

Disordered Systems and Neural Networks · Physics 2017-12-13 Malte Schröder , Nuno A. M. Araújo , Didier Sornette , Jan Nagler

Recent research put a big effort in the development of deep learning architectures and optimizers obtaining impressive results in areas ranging from vision to language processing. However little attention has been addressed to the need of a…

Computer Vision and Pattern Recognition · Computer Science 2018-12-20 Gabriele Valvano , Andrea Leo , Daniele Della Latta , Nicola Martini , Gianmarco Santini , Dante Chiappino , Emiliano Ricciardi

This invited paper discusses a new but important problem, supervised autonomy, in the context of robotics. The paper defines supervised autonomy and compares the supervised autonomy with robotic teleoperation and robotic full autonomy.…

Robotics · Computer Science 2019-07-01 Yangming Li

The idea of changing our energy system from a hierarchical design into a set of nearly independent microgrids becomes feasible with the availability of small renewable energy generators. The smart microgrid concept comes with several…

Emerging Technologies · Computer Science 2018-07-03 Anita Sobe , Wilfried Elmenreich

Online Social Networks have revolutionized how we consume and share information, but they have also led to a proliferation of content not always reliable and accurate. One particular type of social accounts is known to promote unreputable…

Social and Information Networks · Computer Science 2023-04-18 Edoardo Di Paolo , Marinella Petrocchi , Angelo Spognardi

Superintelligence is a hypothetical agent that possesses intelligence far surpassing that of the brightest and most gifted human minds. In light of recent advances in machine intelligence, a number of scientists, philosophers and…

Computers and Society · Computer Science 2021-01-12 Manuel Alfonseca , Manuel Cebrian , Antonio Fernandez Anta , Lorenzo Coviello , Andres Abeliuk , Iyad Rahwan

The growth in data traffic and the increased demand for quality of service had generated a large demand for network systems to be more efficient. The introduction of improved routing systems to meet the increasing demand and varied…

Networking and Internet Architecture · Computer Science 2016-09-08 T. R. Gopalakrishnan Nair , Abhijith , Kavitha Sooda
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