Deep Space Deep Learning
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Deep Space Deep Learning
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Author : J.T. Alden
language : en
Publisher: eBookIt.com
Release Date : 2025-03-26
Deep Space Deep Learning written by J.T. Alden and has been published by eBookIt.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-26 with Science categories.
Explore the Final Frontier with the Most Advanced Machine Yet: Your Mind In an era where the stars and artificial intelligence converge, something extraordinary is happening beyond our night sky. Deep Space, Deep Learning: The AI Revolution in Astronomy unveils the groundbreaking synergy between AI and the cosmos, challenging the very essence of space exploration. Here, a universe of possibilities awaits! Imagine unlocking secrets of the universe faster than light itself. As telescopes evolve into intelligent observatories, and machine minds come alive to process cosmic data, new frontiers are on the horizon. This book navigates you through a journey where exoplanets are discovered with an algorithm's precision, and black holes reveal their mysteries to neural networks. Step inside next-gen AI observatories where real-time becomes a reality, and cosmic phenomena are decoded with unmatched finesse. Your role is pivotal in this cosmic collaboration. As astronomical knowledge melds with AI dynamism, human intellect stands at the forefront of this awe-inspiring transformation. Realize the indisputable successes of interdisciplinary ventures, from predicting solar activity to unraveling the riddles of dark matter and energy. Are you ready to be part of this celestial revolution? Dive into tales of autonomous missions and the search for extraterrestrial life, and discover how ethical considerations ensure a future where space exploration benefits all of humanity. Let your curiosity guide you through this cutting-edge frontier. With every page, ignite your imagination and expand your understanding. The universe, redefined by AI's possibilities, beckons you to become an integral player in the greatest adventure known to mankind. Don't miss this opportunity to redefine what you know about the cosmos and your place within it!
Deep Learning For Robot Perception And Cognition
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Author : Alexandros Iosifidis
language : en
Publisher: Academic Press
Release Date : 2022-02-04
Deep Learning For Robot Perception And Cognition written by Alexandros Iosifidis and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-04 with Technology & Engineering categories.
Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. - Presents deep learning principles and methodologies - Explains the principles of applying end-to-end learning in robotics applications - Presents how to design and train deep learning models - Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more - Uses robotic simulation environments for training deep learning models - Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis
Time Space Spiking Neural Networks And Brain Inspired Artificial Intelligence
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Author : Nikola K. Kasabov
language : en
Publisher: Springer
Release Date : 2018-08-29
Time Space Spiking Neural Networks And Brain Inspired Artificial Intelligence written by Nikola K. Kasabov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-29 with Technology & Engineering categories.
Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.
Unsupervised Learning In Space And Time
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Author : Marius Leordeanu
language : en
Publisher: Springer Nature
Release Date : 2020-04-17
Unsupervised Learning In Space And Time written by Marius Leordeanu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-17 with Computers categories.
This book addresses one of the most important unsolved problems in artificial intelligence: the task of learning, in an unsupervised manner, from massive quantities of spatiotemporal visual data that are available at low cost. The book covers important scientific discoveries and findings, with a focus on the latest advances in the field. Presenting a coherent structure, the book logically connects novel mathematical formulations and efficient computational solutions for a range of unsupervised learning tasks, including visual feature matching, learning and classification, object discovery, and semantic segmentation in video. The final part of the book proposes a general strategy for visual learning over several generations of student-teacher neural networks, along with a unique view on the future of unsupervised learning in real-world contexts. Offering a fresh approach to this difficult problem, several efficient, state-of-the-art unsupervised learning algorithms are reviewed in detail, complete with an analysis of their performance on various tasks, datasets, and experimental setups. By highlighting the interconnections between these methods, many seemingly diverse problems are elegantly brought together in a unified way. Serving as an invaluable guide to the computational tools and algorithms required to tackle the exciting challenges in the field, this book is a must-read for graduate students seeking a greater understanding of unsupervised learning, as well as researchers in computer vision, machine learning, robotics, and related disciplines.
Deep Learning
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Author : Ian Goodfellow
language : en
Publisher: MIT Press
Release Date : 2016-11-10
Deep Learning written by Ian Goodfellow and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-10 with Computers categories.
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Deep Learning For Biomedical Image Reconstruction
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Author : Jong Chul Ye
language : en
Publisher: Cambridge University Press
Release Date : 2023-10-12
Deep Learning For Biomedical Image Reconstruction written by Jong Chul Ye and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-12 with Medical categories.
Discover the power of deep neural networks for image reconstruction with this state-of-the-art review of modern theories and applications. The background theory of deep learning is introduced step-by-step, and by incorporating modeling fundamentals this book explains how to implement deep learning in a variety of modalities, including X-ray, CT, MRI and others. Real-world examples demonstrate an interdisciplinary approach to medical image reconstruction processes, featuring numerous imaging applications. Recent clinical studies and innovative research activity in generative models and mathematical theory will inspire the reader towards new frontiers. This book is ideal for graduate students in Electrical or Biomedical Engineering or Medical Physics.
Cyber Space And Outer Space Security
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Author : Karthikeyan Periyasami
language : en
Publisher: CRC Press
Release Date : 2024-10-31
Cyber Space And Outer Space Security written by Karthikeyan Periyasami and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-31 with Technology & Engineering categories.
This book delves into cutting-edge research in cyberspace and outer space security, encompassing both theoretical and experimental aspects. It provides mitigation measures and strategies to address the identified challenges within. It covers a spectrum of topics including techniques and strategies for enhancing cyberspace security, combating ransomware attacks, and securing autonomous vehicles. Additionally, it explores security and surveillance systems involving autonomous vehicles, resilience schemes against security attacks using blockchain for autonomous vehicles, security analysis of autonomous drones (UAVs), the cybersecurity kill chain, the internet of drones (IoD), and cyberspace solutions to counteract attacks. The discussion extends to mitigation strategies against weaponized AI in cyber-attacks, countermeasures for both autonomous vehicles and cyberspace attacks, as well as the limitations and future prospects of artificial intelligence (AI) and data defense in aerospace cybersecurity. A network comprising nodes can establish both cyberspace and outer space platforms for data exchange. Cyberspace finds diverse applications, including commercial endeavors and military defense. The integration of autonomous vehicles, unmanned aircraft systems (UAS), and drones into outer space environments is facilitated through their connection to cyberspace. One illustrative example involves the utilization of blockchain-based secure drone systems for product delivery, leveraging the combined capabilities of cyberspace and outer space security technologies. This book elucidates the intricate dynamics between cyber operations and the expanding realm of autonomous outer cyberspace, presenting new security challenges arising from heightened complexity and emerging vulnerabilities.
Deep Learning In Solar Astronomy
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Author : Long Xu
language : en
Publisher: Springer Nature
Release Date : 2022-05-27
Deep Learning In Solar Astronomy written by Long Xu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-27 with Science categories.
The volume of data being collected in solar astronomy has exponentially increased over the past decade and we will be entering the age of petabyte solar data. Deep learning has been an invaluable tool exploited to efficiently extract key information from the massive solar observation data, to solve the tasks of data archiving/classification, object detection and recognition. Astronomical study starts with imaging from recorded raw data, followed by image processing, such as image reconstruction, inpainting and generation, to enhance imaging quality. We study deep learning for solar image processing. First, image deconvolution is investigated for synthesis aperture imaging. Second, image inpainting is explored to repair over-saturated solar image due to light intensity beyond threshold of optical lens. Third, image translation among UV/EUV observation of the chromosphere/corona, Ha observation of the chromosphere and magnetogram of the photosphere is realized by using GAN, exhibiting powerful image domain transfer ability among multiple wavebands and different observation devices. It can compensate the lack of observation time or waveband. In addition, time series model, e.g., LSTM, is exploited to forecast solar burst and solar activity indices. This book presents a comprehensive overview of the deep learning applications in solar astronomy. It is suitable for the students and young researchers who are major in astronomy and computer science, especially interdisciplinary research of them.
Intelligent Robotics And Applications
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Author : Haibin Yu
language : en
Publisher: Springer
Release Date : 2019-08-02
Intelligent Robotics And Applications written by Haibin Yu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-02 with Computers categories.
The volume set LNAI 11740 until LNAI 11745 constitutes the proceedings of the 12th International Conference on Intelligent Robotics and Applications, ICIRA 2019, held in Shenyang, China, in August 2019. The total of 378 full and 25 short papers presented in these proceedings was carefully reviewed and selected from 522 submissions. The papers are organized in topical sections as follows: Part I: collective and social robots; human biomechanics and human-centered robotics; robotics for cell manipulation and characterization; field robots; compliant mechanisms; robotic grasping and manipulation with incomplete information and strong disturbance; human-centered robotics; development of high-performance joint drive for robots; modular robots and other mechatronic systems; compliant manipulation learning and control for lightweight robot. Part II: power-assisted system and control; bio-inspired wall climbing robot; underwater acoustic and optical signal processing for environmental cognition; piezoelectric actuators and micro-nano manipulations; robot vision and scene understanding; visual and motional learning in robotics; signal processing and underwater bionic robots; soft locomotion robot; teleoperation robot; autonomous control of unmanned aircraft systems. Part III: marine bio-inspired robotics and soft robotics: materials, mechanisms, modelling, and control; robot intelligence technologies and system integration; continuum mechanisms and robots; unmanned underwater vehicles; intelligent robots for environment detection or fine manipulation; parallel robotics; human-robot collaboration; swarm intelligence and multi-robot cooperation; adaptive and learning control system; wearable and assistive devices and robots for healthcare; nonlinear systems and control. Part IV: swarm intelligence unmanned system; computational intelligence inspired robot navigation and SLAM; fuzzy modelling for automation, control, and robotics; development of ultra-thin-film, flexible sensors, and tactile sensation; robotic technology for deep space exploration; wearable sensing based limb motor function rehabilitation; pattern recognition and machine learning; navigation/localization. Part V: robot legged locomotion; advanced measurement and machine vision system; man-machine interactions; fault detection, testing and diagnosis; estimation and identification; mobile robots and intelligent autonomous systems; robotic vision, recognition and reconstruction; robot mechanism and design. Part VI: robot motion analysis and planning; robot design, development and control; medical robot; robot intelligence, learning and linguistics; motion control; computer integrated manufacturing; robot cooperation; virtual and augmented reality; education in mechatronics engineering; robotic drilling and sampling technology; automotive systems; mechatronics in energy systems; human-robot interaction.
Technological Breakthroughs And Future Business Opportunities In Education Health And Outer Space
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Author : Hooke, Angus
language : en
Publisher: IGI Global
Release Date : 2021-04-09
Technological Breakthroughs And Future Business Opportunities In Education Health And Outer Space written by Hooke, Angus and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-09 with Business & Economics categories.
It is widely accepted that the key to rising incomes for workers, for investors, and (indirectly) for welfare recipients is innovation. New ideas provide opportunities for investment in new products, new processes, and new markets. Exploitation of these opportunities by intrapreneurs and entrepreneurs gives rise to increases in labor productivity, which in turn lead to higher primary incomes for workers and investors and, via government redistributive mechanisms, larger transfers to welfare recipients. Since technology is the driver of innovation and the key to the subsequent economic and distributional benefits of this innovation, there is a need for researchers and businesspersons to have access to up-to-date information on emerging technologies and the business opportunities they provide. Technological Breakthroughs and Future Business Opportunities in Education, Health, and Outer Space discusses the economic, social, and cultural benefits that new technologies can provide in multidisciplinary industries with a unique emphasis on looking towards the impacts of these technologies across the next two decades. Within this theme, the book discusses the recent trends, future developments, and business opportunities surrounding new technologies including information technology and biotechnology. Additionally, the book investigates recent demands and disruptions in the health and education sectors as well as recent developments and forthcoming opportunities in the outer space sector and how newer technologies can enable and meet the growing demands of these industries. While covering all these technologies and their applications, this book is an ideal reference work for entrepreneurs and intrapreneurs, teachers, technologists, analysts, IT specialists, engineers, policymakers, medical professionals, government officials, space agencies, financial planners, public officials, and researchers and students working in areas that include but are not limited to technology, education, public health, medicine, business and management, aeronautics, and public policy.