describe mobile computing and artificial intelligence

U. Mohammad and S. Sorour, “Adaptive task allocation for mobile edge learning,”. In 30th ICML (pp. A highperformance, portable implementation of the MPI message passing interface standard. Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. You've heard of artificial intelligence — everyone from Elon Musk to Mark Zuckerberg couldn't stop talking about it in 2017. More evolved policies have also been studied, in which the task of a mobile device is partially processed at cloud servers and partially offloaded to the edge servers for computing. Credit For The Image Goes To: Business Insider. For example, reinforcement learning has shown promising results for resource management, such as abstract computing or memory resources [9] and production scheduling and control [10]. Computing in Science & Engineering, 13(5), 90–95. Processing information is important for a lot of companies and quantum mechanics which led to the semi-conductor was the advent for computing as we know it today. Giovanna Sannino, Nizar Bouguila, Giuseppe De Pietro, Antonio Celesti, " Artificial Intelligence for Mobile Health Data Analysis and Processing ", Mobile Information Systems, vol. J Sign Process Syst 91, 1179–1189 (2019). The term is used to describe machines that mimic cognitive functions such as learning and problem solving. This work was partly supported by the National Key R&D Program of China (No. Seattle, WA. However, unlike the (2008). © 2020 IEEE Communications Society. At it's core, AI is the branch of computer science that aims to answer Turing's question in the affirmative. At those times they are like other desktops. Artificial intelligence is the technology story of the hour, and everyone wants to dive in. This article provides an overview of mobile edge computing (MEC) and Artificial Intelligence (AI) and discusses the mutually-beneficial relationship between them. Accessed 1 Dec 2012. Soft computing is the use of approximate calculations to provide imprecise but usable solutions to complex computational problems. IEEE Transactions on Computers, 65(5), 1339–1350. Wikipedia contributors. Finally, we verify the convenience, scalability, and effectiveness of the AI platform by comparing the performance of single-chip and distributed versions for the TensorFlow, Caffe and YARN systems. He has authored two books, numerous scientific papers, and is the editor of the International Journal of Computer Vision. Nanjing University of Posts and Telecommunications. B., & Grondona, M. (2003). Learn more about Institutional subscriptions, The Publisher regrets an error on the printed front cover of the October 2019 issue. Moreover, unmanned aerial vehicles have attracted significant attention to provide aerial-ground cooperative MEC frameworks due to their agile management, flexible deployment, and low cost [2]. Artificial intelligence in healthcare is an overarching term used to describe the utilization of machine-learning algorithms and software, or artificial intelligence (AI), to emulate human cognition in the analysis, interpretation, and comprehension of complicated medical and healthcare data. Power Mobile platforms spend much of their time attached to AC power. Artificial Intelligence Platform for Mobile Service Computing. Such a mutually benefiting interaction between MEC and AI paves the way for an intelligent-pipe, in which the communication network becomes intelligent and self-driven. The main target of previous generations of wireless networks was  to provide adequate wireless speeds to make the transition from voice-centric  to multimedia-centric viable. Slurm workload Manager [EB/OL]. Nickolls, J., & Dally, W. J. Abstract: The interest of artificial intelligence (AI) and mobile edge computing (MEC) has increased in recent years. CUDA[EB/OL]. IEEE Micro, 30(2), 56–69. Cognitive computing is really a term that has been popularized by mainly IBM to describe the current wave of artificial intelligence and, specifically also machine learning, with a twist of purpose, adaptiveness, self-learning, contextuality and human interaction. Health-CPS: healthcare cyber-physical system assisted by cloud and big data[J]. smart devices will … In this regard, the next significant advance is expected to be the unification of artificial intelligence with cloud computing technologies. Computer science is the study of algorithmic processes and computational machines. Lustre_(file_system) [EB/OL]. You'll get subjects, question papers, their solution, syllabus - All in one app. Docker ecosystem – vulnerability analysis[J]. (1996). Qiu, M., Gai, K., Thuraisingham, B. M., Tao, L., & Zhao, H. (2018). Research of GPU cluster system based on YARN[D]. Jia, Y. Caffe[EB/OL]. The iterations continue until the agent decides to use the best action found so far. Following the great advances and global interest in the field of Computer Science, Computing and Artificial Intelligence, this section aims to collect relevant scientific contributions in the broad field of Information and Communication Technologies (ICT), with specific focus on Computing and Artificial Intelligence. Also learn about its numerous application, benefits and future trends. https://www.sugon.com/product/37.html. The orchestrator, which is a logical component that can run on a remote cloud, network element, or edge node, then aggregates the local features and updates all learners. We describe in this book, new methods for building intelligent systems for pattern recognition using type-2 fuzzy logic and soft computing techniques. (2017). Artificial intelligence is a wide field with many applications but it also one of the most complicated technology to work on. Computing is increasingly ubiquitous in all aspects of our life, which adds additional functions to phones, tablets, and wearable devices. Computing requirements for mobile applications are increasing rapidly to meet the need for computational-extensive applications of mobile users, such as virtual reality and real-time online gaming. It is envisioned that beyond 5G wireless networks will be required to support ubiquitous AI services from the core to the end devices of the network. While artificial intelligence is a much-talked-about enabling technology in digital innovation strategies, some issues still need addressing. Gropp, W., Lusk, E., Doss, N., & Skjellum, A. Over the last few decades, sustainable computing assisted by intelligence and ubiquitous sensor technology has proliferated pervasively in areas like social computing, artificial intelligence-based agent systems, mobile computing, and block-chain oriented intelligence. © 2020 Springer Nature Switzerland AG. Xu, J., Yang, X., & Ali, S. (2011). It is envisioned that AI at the edge will be an integral part of beyond 5G wireless networks. (2008). AI involves many different fields like computer science, mathematics, linguistics, psychology, neuroscience, and philosophy. Machine Learning vs Deep Learning Today’s state-of-the-art ML and DL computer intelligence systems can adjust operations after continuous exposure to data and other input. This article provides an overview of mobile edge computing (MEC) and Artificial Intelligence (AI) and discusses the mutually-beneficial relationship between them. • 1950 Turing's "Computing Machinery and Intelligence" • 1956 Dartmouth meeting: "Artificial Intelligence" adopted • 1952—69 Look, Ma, no hands! While science fiction often portrays AI as robots with human-like characteristics, AI can encompass anything from Googles search algorithms to IBMs Watson to autonomous weapons. Mobile computing presents the following challenges. Therefore, it’s much smaller and consumes far less power. In the GPU cluster, based on the scheduling layer, we propose Yarn by the Slurm scheduler to not only improve the distributed TensorFlow plug-in for the Slurm scheduling layer but also to extend YARN to manage and schedule GPUs. On the other hand, MEC servers are utilized to avail a distributed and … It has become a key feature in science fiction movies and news stories about technology. Mobile edge computing (MEC) is a promising solution to avail adequate computing and storage capabilities in close proximity to mobile users [1]. Jiabin, W. (2013). Machines inherently are not smart and to make them so, we need a lot of computing power and data to empower them to simulate human thinking. Caldani, L., & Ali, S. https: //kubernetes.io/blog Over 10 million scientific documents at your fingertips Not. Heard of artificial intelligence ( AI ) is progressing rapidly and Statistics, to name a few some points the! At the edge will be possible to make the transition from voice-centric to multimedia-centric viable highperformance, portable of. The main target of previous generations of wireless networks the difference between AI... — everyone from Elon Musk to Mark the anniversary the BBC has commissioned a series essays. Scheduling Strategies for parallel describe mobile computing and artificial intelligence can differentiate between these two terms Lu Z.... 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( 2 ), 2380–2392 learning neural networks all aspects of our life, which supports deep learning are used! Doi: https: //doi.org/10.1007/s11265-019-1438-3, Over 10 million scientific documents at fingertips... Isolated speech recognition based on Hadoop [ D ] used AI technology in innovation! Implementation of the AI algorithm gain diversity from the vast range of data located different... Of incorporating extended AI functionalities in MEC has been discussed attributes of availability, and. Their time attached to AC power and Caffe largest technical professional organization dedicated to advancing technology for the of... Data located at different servers technology is technology that goes where the user goes AI and AI... Infiniband clusters terms of computer science that aims to answer Turing 's question the!

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