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The graph neural networking challenge

José Suárez-Varela, Miquel Ferriol-Galmés, Albert López, Paul Almasan, Guillermo Bernárdez, David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ (+12 others)
2021 Computer communication review  
During 2020, the International Telecommunication Union (ITU) has organized the "ITU AI/ML in 5G challenge", an open global competition that has introduced to a broad audience some of the current main challenges  ...  This paper narrates our experience organizing one of the proposed challenges: the "Graph Neural Networking Challenge 2020".  ...  ACKNOWLEDGMENTS Thanks to the International Telecommunication Union (ITU) for organizing the ITU AI/ML in 5G challenge and giving us the opportunity to be part of this initiative; especially thanks to  ... 
doi:10.1145/3477482.3477485 fatcat:36gdygbinfhajpigmb42igjlaq

Explainable AI for B5G/6G: Technical Aspects, Use Cases, and Research Challenges [article]

Shen Wang, M.Atif Qureshi, Luis Miralles-Pechuaán, Thien Huynh-The, Thippa Reddy Gadekallu, Madhusanka Liyanage
2021 arXiv   pre-print
Moreover, we summarised the lessons learned from the recent attempts and outlined important research challenges in applying XAI for building 6G systems.  ...  This survey paper highlights the need for XAI towards the upcoming 6G age in every aspect, including 6G technologies (e.g., intelligent radio, zero-touch network management) and 6G use cases (e.g., industry  ...  AI/ML model for a given audience.  ... 
arXiv:2112.04698v1 fatcat:y7ss4opmrjbsbjm3ip2vgkkgky

Thinking Critically about Algorithmic Thinking

George F. Hurlburt
2018 IT Professional Magazine  
To do so poses a monumental challenge for all educators to grasp the meaning of algorithms and relay these realities in a pragmatic and truly inspiring way to their students.  ...  The understanding of the underlying mathematics makes selecting among competing AI/ML algorithms more than an "off-the-shelf" acquisition decision.  ...  Hurlburt is the chief scientist at STEMCorp, a nonprofit corporation that works in the public sector to further economic development via adoption of network science to advance autonomous technologies as  ... 
doi:10.1109/mitp.2018.021921644 fatcat:vsucf7mt7vfzvd6vmpk2qecgnm

Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Technical Challenges and Solutions [article]

Eike Petersen, Yannik Potdevin, Esfandiar Mohammadi, Stephan Zidowitz, Sabrina Breyer, Dirk Nowotka, Sandra Henn, Ludwig Pechmann, Martin Leucker, Philipp Rostalski, Christian Herzog
2021 arXiv   pre-print
classical black-box deep neural networks.  ...  Next, we discuss the underlying technical challenges, possible ways for addressing them, and their respective merits and drawbacks.  ...  Acknowledgements The authors would like to thank Jannik Prüßmann, B.Sc., for assisting with the formatting of the references.  ... 
arXiv:2107.09546v1 fatcat:er3nlre7xrg4lmqsgxs7c4pswu

A Survey on Privacy for B5G/6G: New Privacy Goals, Challenges, and Research Directions [article]

Chamara Sandeepa, Bartlomiej Siniarski, Nicolas Kourtellis, Shen Wang, Madhusanka Liyanage
2022 arXiv   pre-print
Based on the taxonomy, the paper then conceptualizes a set of privacy goals for the B5G/6G and the challenges that appear as barriers to reaching these goals.  ...  Next, this work provides a set of solutions applicable to the proposed architecture of B5G/6G networks to mitigate the challenges.  ...  ACKNOWLEDGEMENT This work is partly supported by European Union in SPA-TIAL (Grant No: 101021808), Academy of Finland in 6Genesis (grant no. 318927) and Science Foundation Ireland under CONNECT phase 2  ... 
arXiv:2203.04264v1 fatcat:blbzfjy73fhlvammlwsgfmso5y

Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions

Eike Petersen, Yannik Potdevin, Esfandiar Mohammadi, Stephan Zidowitz, Sabrina Breyer, Dirk Nowotka, Sandra Henn, Ludwig Pechmann, Martin Leucker, Philipp Rostalski, Christian Herzog
2022 IEEE Access  
Many high-level declarations of ethical principles have been put forth for this purpose, but there is a severe lack of technical guidelines explicating the practical consequences for medical machine learning  ...  This survey provides an overview of the technical and procedural challenges involved in creating medical machine learning systems responsibly and in conformity with existing regulations, as well as possible  ...  ACKNOWLEDGMENT The authors would like to thank Jannik Prüßmann, B.Sc., for assistance with the formatting of the references.  ... 
doi:10.1109/access.2022.3178382 fatcat:cwpkgkx2ibcgbdatd4aidwa4xy


2021 2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)  
He is currently a professor in the college of engineering at Qatar University. He has over 25 years of experience in wireless networking research and industrial systems development.  ...  He has worked as an advisory IT specialist in IBM Innovation Centre in Vancouver from 1998 to 2007, taking a leadership role in systems development for vertical industries.  ...  15:30 Understanding Power of Graph Convolutional Neural Network on Discriminating Human EEG Signal Graph Convolutional Neural Network (GCNN) has improved the classification of graph data in recent years  ... 
doi:10.1109/ccece53047.2021.9569199 fatcat:35c7o6f6svc5rgnyhjpbvjp7iy

Predictive Modeling for Optimization of Field Operations in Bike-Sharing Systems

Simon Ruffieux, Elena Mugellini, Omar Abou Khaled
2019 2019 6th Swiss Conference on Data Science (SDS)  
Integration, security, AI, ML, digital assistants and blockchain are key ingredients to our offering.  ...  The mechanism processes, and displays neurons activation during the training of a neural network.  ... 
doi:10.1109/sds.2019.00011 dblp:conf/sds2/RuffieuxMK19 fatcat:z5bcj6f2pjczvbwp4zooavn6ve

Teaching Machine Learning in School: A Systematic Mapping of the State of the Art

2020 Informatics in Education. An International Journal  
We identified 30 instructional units mostly focusing on ML basics and neural networks.  ...  Thus, in order to obtain an overview of the state of the art on teaching Machine Learning concepts in elementary to high school, we carried out a systematic mapping study.  ...  Acknowledgments This work is supported by CNPq (National Council for Scientific and Technological Development), a Brazilian government entity focused on scientific and technological development.  ... 
doi:10.15388/infedu.2020.14 fatcat:mjtkn42svjewvcpfiw7dwejtvq

The AI Index 2021 Annual Report [article]

Daniel Zhang, Saurabh Mishra, Erik Brynjolfsson, John Etchemendy, Deep Ganguli, Barbara Grosz, Terah Lyons, James Manyika, Juan Carlos Niebles, Michael Sellitto, Yoav Shoham, Jack Clark (+1 others)
2021 arXiv   pre-print
The report aims to be the most credible and authoritative source for data and insights about AI in the world.  ...  This year we significantly expanded the amount of data available in the report, worked with a broader set of external organizations to calibrate our data, and deepened our connections with the Stanford  ...  The terms searched for were based on the issues exposed and identified in papers below, and also on the topics called for discussion in the First AAAI/ACM Conference on AI, Ethics, and Society.  ... 
arXiv:2103.06312v1 fatcat:52qwvzv7jndxzaagyiro6koyza

The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors [article]

William H. Guss, Cayden Codel, Katja Hofmann, Brandon Houghton, Noboru Kuno, Stephanie Milani, Sharada Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Phillip Wang
2021 arXiv   pre-print
To facilitate research in this direction, we introduce the MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors.  ...  The competition is structured into two rounds in which competitors are provided several paired versions of the dataset and environment with different game textures.  ...  Workshop on the competition with approximately 250 seats. We will reserve spots for guest speakers, organizers, Round 2 participants, and Round 1 participants attending NeurIPS.  ... 
arXiv:1904.10079v3 fatcat:n3xfk2fyfnhe7l5oafdmccfbza

Artificial Intelligence for the Metaverse: A Survey [article]

Thien Huynh-The and Quoc-Viet Pham and Xuan-Qui Pham and Thanh Thi Nguyen and Zhu Han and Dong-Seong Kim
2022 arXiv   pre-print
, digital twin, and neural interface, and being potential for the metaverse.  ...  In this survey, we make a beneficial effort to explore the role of AI in the foundation and development of the metaverse.  ...  A. Categorization of AI This part reviews some common AI/ML algorithms that are potential for the metaverse.  ... 
arXiv:2202.10336v1 fatcat:35isd745dbaqfnpzthnmbaosue

Future Computer Systems and Networking Research in the Netherlands: A Manifesto [article]

Alexandru Iosup
2022 arXiv   pre-print
Our modern society and competitive economy depend on a strong digital foundation and, in turn, on sustained research and innovation in computer systems and networks (CompSys).  ...  Each of the Top Sectors of the Dutch Economy, each route in the National Research Agenda, and each of the UN Sustainable Development Goals pose challenges that cannot be addressed without groundbreaking  ...  computing [31] and graph processing [31] ; national security (examples combine AI/ML and graph processing); future banking ecosystems; logistics; online gaming [6] ; etc.  ... 
arXiv:2206.03259v1 fatcat:yz5xxpfeqbfbxp63i2naom3oy4

The future of Artificial Intelligence in Cybersecurity: A Comprehensive Survey

Feng Tao, Muhammad Akhtar, Zhang Jiayuan
2021 EAI Endorsed Transactions on Creative Technologies  
The motive behind these cyber-criminals are political competition, competitors move for gain and harming the name of others, international information theft, and radical nonsecular cluster interest.  ...  The increase in the incidence and quality of cyber-attacks is driving AI-enabled cyber systems.  ...  of AI/ML technologies.  ... 
doi:10.4108/eai.7-7-2021.170285 fatcat:fvzohjzivzf3rgvfgtfwbm4qly

Artificial Intelligence and Robotics [article]

Javier Andreu Perez, Fani Deligianni, Daniele Ravi, Guang-Zhong Yang
2018 arXiv   pre-print
The global AI market is around 260 billion USD in 2016 and it is estimated to exceed 3 trillion by 2024.  ...  Current AI technologies are used in a set area of applications, ranging from healthcare, manufacturing, transport, energy, to financial services, banking, advertising, management consulting and government  ...  • Plethora of frameworks and utilities for AI, ML, deep learning, scientific computing, natural processing language etc.  ... 
arXiv:1803.10813v1 fatcat:p2czbmak4jcyxbtncqfqlkxtma
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