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Artificial Intelligence and Machine Learning for Open-world Novelty

Artificial Intelligence and Machine Learning for Open-world Novelty PDF Author:
Publisher: Elsevier
ISBN: 0323999298
Category : Computers
Languages : en
Pages : 378

Book Description
Advances in Computers, Volume presents innovations in computer hardware, software, theory, design and applications, with this updated volume including new chapters on - Contains novel subject matter that is relevant to computer science - Includes the expertise of contributing authors - Presents an easy to comprehend writing style

Artificial Intelligence and Machine Learning for Open-world Novelty

Artificial Intelligence and Machine Learning for Open-world Novelty PDF Author:
Publisher: Elsevier
ISBN: 0323999298
Category : Computers
Languages : en
Pages : 378

Book Description
Advances in Computers, Volume presents innovations in computer hardware, software, theory, design and applications, with this updated volume including new chapters on - Contains novel subject matter that is relevant to computer science - Includes the expertise of contributing authors - Presents an easy to comprehend writing style

Multi-disciplinary Trends in Artificial Intelligence

Multi-disciplinary Trends in Artificial Intelligence PDF Author: Phatthanaphong Chomphuwiset
Publisher: Springer Nature
ISBN: 3030802531
Category : Computers
Languages : en
Pages : 202

Book Description
This book constitutes the refereed proceedings of the 14th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2021, held online in July 2021. The 13 full papers and 3 short papers presented were carefully reviewed and selected from 33 submissions. They cover a wide range of topics in theory, methods, and tools in AI sub-areas such as cognitive science, computational philosophy, computational intelligence, game theory, machine learning, multi-agent systems, natural language, representation and reasoning, data mining, speech, computer vision and the Web as well as their applications in big data, bioinformatics, biometrics, decision support, knowledge management, privacy, recommender systems, security, software engineering, spam filtering, surveillance, telecommunications, Web services, and IoT.

AI 2023: Advances in Artificial Intelligence

AI 2023: Advances in Artificial Intelligence PDF Author: Tongliang Liu
Publisher: Springer Nature
ISBN: 9819983916
Category : Computers
Languages : en
Pages : 509

Book Description
This two-volume set LNAI 14471-14472 constitutes the refereed proceedings of the 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, held in Brisbane, QLD, Australia during November 28 – December 1, 2023. The 23 full papers presented together with 59 short papers were carefully reviewed and selected from 213 submissions. They are organized in the following topics: computer vision; deep learning; machine learning and data mining; optimization; medical AI; knowledge representation and NLP; explainable AI; reinforcement learning; and genetic algorithm..

Artificial Intelligence for Industries of the Future

Artificial Intelligence for Industries of the Future PDF Author: Mayank Kejriwal
Publisher: Springer Nature
ISBN: 3031190394
Category : Business & Economics
Languages : en
Pages : 165

Book Description
This book provides a brief synthesis of the known implementations, opportunities and challenges at the intersection of artificial intelligence (AI) and modern industry beyond the big-four companies that traditionally consume and produce such advanced technology: Facebook, Amazon, Microsoft and Google. With this information, the author also makes some reasonable claims about the role of AI in future industries. The book draws on a broad range of material, including reports from consulting firms, published surveys, academic papers and books, and expert knowledge available to the author due to numerous collaborations in academia and industry on AI. It is rigorous rather than speculative, drawing on known findings and expert summaries, where available. This provides industry leaders and other interested stakeholders with an accessible review of contemporary perspectives on AI’s forward-looking role in industry as well as a clarifying guide on the major issues that companies are likely to face as they commence on this exciting path. Examines the likely role of AI in industries of the future, both known and unknown Presents use-cases of AI currently being explored across Big Tech, multi-national corporations and start-ups Explores the regulation of AI and its potential impacts on the workforce

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine PDF Author: David Riaño
Publisher: Springer
ISBN: 303021642X
Category : Computers
Languages : en
Pages : 431

Book Description
This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.

Proceedings of 2023 Chinese Intelligent Automation Conference

Proceedings of 2023 Chinese Intelligent Automation Conference PDF Author: Zhidong Deng
Publisher: Springer Nature
ISBN: 9819961874
Category : Technology & Engineering
Languages : en
Pages : 854

Book Description
The book presents selected research papers from the 2023 Chinese Intelligent Automation Conference (CIAC2023), held in Nanjing, China, on October 2-5, 2023. It covers a wide range of topics including intelligent control, robotics, artificial intelligence, pattern recognition, unmanned systems, IoT, and machine learning. It includes original research and the latest advances in the field of intelligent automation. Engineers and researchers from academia, industry, and government can gain valuable insights into solutions combining ideas from multiple disciplines in this field.

The AI Commander

The AI Commander PDF Author: James Johnson
Publisher: Oxford University Press
ISBN: 0198892268
Category : Political Science
Languages : en
Pages : 238

Book Description
What does AI mean for the role of humans in war? The AI Commander addresses the largely neglected question of how the fusion of machines into the war machine will affect the human condition of warfare. James Johnson emphasizes the "mind" - both human and machine - and the mechanisms of thought (intelligence, consciousness, emotion, memory, experience, etc.) to consider the effects of AI and autonomy on the human condition of war. Johnson investigates the vexing and misunderstood - and at times contradictory - ethical, moral, and normative implications, whether incremental, transformative, or revolutionary, of synthesizing man and machine in future algorithmic warfare - or AI-enabled centaur warfighting. At the heart of these vexing questions are whether we are inevitably moving toward a situation in which AI-enabled autonomous weapons will make strategic decisions in place of humans and thus become the owners of those decisions. Can AI-powered systems replace human commanders? And, more importantly, should they? The AI Commander argues that AI cannot be merely passive and neutral force multipliers of human cognition. Instead, they will likely become - either by conscious choice or inadvertently - strategic actors in war. AI will transform the role and nature of human warfare, but not necessarily in the ways most observers expect.

Semantic Intelligence

Semantic Intelligence PDF Author: Sarika Jain
Publisher: Springer Nature
ISBN: 9811971269
Category : Computers
Languages : en
Pages : 330

Book Description
This book constitutes refereed proceedings of the 2nd International Semantic Intelligence Conference (ISIC 2022). This book covers a wide range of topics, including semantic web engineering, ontology-based data access, multimodal and multilingual access, machine-to-machine communications and interoperability, knowledge extraction and ontology learning from the web, computational paradigms and computational intelligence, distributed and mobile systems, and many others. This book includes novel contributions and the latest developments from researchers across industry and academia. This book serves as a valuable reference resource for academics and researchers across the globe.

Next Generation Computing and Information Systems

Next Generation Computing and Information Systems PDF Author: Ankur Gupta
Publisher: CRC Press
ISBN: 1040113109
Category : Computers
Languages : en
Pages : 267

Book Description
The proceedings of the 2nd International Conference on Next-Generation Computing and Information Systems (ICNGCIS'23) includes research papers in diverse emerging domains such as AI, blockchain, web 3.0, metaverse and edge computing apart from traditional domains such as distributed computing and networks and cybersecurity. The proceedings include papers addressing currently relevant research issues such as smart contract security, interoperability in the metaverse, AI applications in healthcare, agriculture and related domains. The proceedings encompass findings with real-world implications for the growth and evolution of modern computing and information systems by addressing various challenges related to their design, deployment, operational aspects, performance and shortcomings. The intended audience for the proceedings of ICNGCIS'23 include researchers from industry and academia, practitioners, students, technology enthusiasts and even general audience looking to explore interesting applications, use-cases and fundamental issues in modern computing and information systems.

AI-ML for Decision and Risk Analysis

AI-ML for Decision and Risk Analysis PDF Author: Louis Anthony Cox Jr.
Publisher: Springer Nature
ISBN: 3031320131
Category : Business & Economics
Languages : en
Pages : 443

Book Description
This book explains and illustrates recent developments and advances in decision-making and risk analysis. It demonstrates how artificial intelligence (AI) and machine learning (ML) have not only benefitted from classical decision analysis concepts such as expected utility maximization but have also contributed to making normative decision theory more useful by forcing it to confront realistic complexities. These include skill acquisition, uncertain and time-consuming implementation of intended actions, open-world uncertainties about what might happen next and what consequences actions can have, and learning to cope effectively with uncertain and changing environments. The result is a more robust and implementable technology for AI/ML-assisted decision-making. The book is intended to inform a wide audience in related applied areas and to provide a fun and stimulating resource for students, researchers, and academics in data science and AI-ML, decision analysis, and other closely linked academic fields. It will also appeal to managers, analysts, decision-makers, and policymakers in financial, health and safety, environmental, business, engineering, and security risk management.