Download or read book 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems AICAS written by and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems AICAS written by IEEE Staff and published by . This book was released on 2021-06-06 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence is driving a new revolution in domains ranging from manufacturing, automotive, healthcare, robotics, entertainment, and many others New computing platforms are required to support the emerging AI algorithms and applications, from cloud servers to edge devices, from system level to circuit level AICAS facilitates research, innovation and development activities at the frontiers of circuits and systems for AI It allows academia to meet industry from the international community to exchange experiences, demonstrate their studies and further advance AI technologies AICAS is the major conference for AI that stands between theory, applications, and ASICs
Download or read book 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems AICAS written by and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems AICAS written by IEEE Staff and published by . This book was released on 2022-06-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Circuits and systems for AI Deep learning machine learning AI algorithms Tools Platforms for AI Architectures for AI computing Neuromorphic circuits, processors and systems and their applications Hardware software co design and design automation for AI systems Advanced neural network design Emerging applications Internet of Things, healthcare, autonomous vehicles, environment Emerging devices and materials for AI
Download or read book 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems AICAS written by and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Intelligent Systems and Networks written by Thi Dieu Linh Nguyen and published by Springer Nature. This book was released on with total page 703 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Towards Heterogeneous Multi core Systems on Chip for Edge Machine Learning written by Vikram Jain and published by Springer Nature. This book was released on 2023-09-15 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores and motivates the need for building homogeneous and heterogeneous multi-core systems for machine learning to enable flexibility and energy-efficiency. Coverage focuses on a key aspect of the challenges of (extreme-)edge-computing, i.e., design of energy-efficient and flexible hardware architectures, and hardware-software co-optimization strategies to enable early design space exploration of hardware architectures. The authors investigate possible design solutions for building single-core specialized hardware accelerators for machine learning and motivates the need for building homogeneous and heterogeneous multi-core systems to enable flexibility and energy-efficiency. The advantages of scaling to heterogeneous multi-core systems are shown through the implementation of multiple test chips and architectural optimizations.
Download or read book Machine Vision and Augmented Intelligence written by Koushlendra Kumar Singh and published by Springer Nature. This book was released on 2023-06-01 with total page 645 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2022). The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the book. The book encompasses all industrial and non-industrial applications. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, image processing, and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in health care, brain-computer interface, cybersecurity, social network analysis, and natural language processing.
Download or read book Deep Reinforcement Learning Processor Design for Mobile Applications written by Juhyoung Lee and published by Springer Nature. This book was released on 2023-08-14 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the acceleration of deep reinforcement learning (DRL), which may be the next step in the burst success of artificial intelligence (AI). The authors address acceleration systems which enable DRL on area-limited & battery-limited mobile devices. Methods are described that enable DRL optimization at the algorithm-, architecture-, and circuit-levels of abstraction.
Download or read book Machine Intelligence and Emerging Technologies written by Md. Shahriare Satu and published by Springer Nature. This book was released on 2023-06-10 with total page 819 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNICST 490 and 491 constitutes the proceedings of the First International Conference on Machine Intelligence and Emerging Technologies, MIET 2022, hosted by Noakhali Science and Technology University, Noakhali, Bangladesh, during September 23–25, 2022. The 104 papers presented in the proceedings were carefully reviewed and selected from 272 submissions. This book focuses on theoretical, practical, state-of-art applications, and research challenges in the field of artificial intelligence and emerging technologies. It will be helpful for active researchers and practitioners in this field. These papers are organized in the following topical sections: imaging for disease detection; pattern recognition and natural language processing; bio signals and recommendation systems for wellbeing; network, security and nanotechnology; and emerging technologies for society and industry.
Download or read book Machine Learning and Knowledge Discovery in Databases Research Track written by Danai Koutra and published by Springer Nature. This book was released on 2023-09-16 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: Robustness; Time Series; Transfer and Multitask Learning. Part VI: Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.
Download or read book Embedded Machine Learning for Cyber Physical IoT and Edge Computing written by Sudeep Pasricha and published by Springer Nature. This book was released on 2023-10-09 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits. Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computing; Offers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimization; Describes real applications to demonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.
Download or read book On Chip Training NPU Algorithm Architecture and SoC Design written by Donghyeon Han and published by Springer Nature. This book was released on 2023-08-28 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlike most available sources that focus on deep neural network (DNN) inference, this book provides readers with a single-source reference on the needs, requirements, and challenges involved with on-device, DNN training semiconductor and SoC design. The authors include coverage of the trends and history surrounding the development of on-device DNN training, as well as on-device training semiconductors and SoC design examples to facilitate understanding.
Download or read book Biomedical Signals Based Computer Aided Diagnosis for Neurological Disorders written by M. Murugappan and published by Springer Nature. This book was released on 2022-06-17 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in medicine. This book covers different aspects of biomedical signals-based systems used in the automatic detection/identification of neurological disorders. Several biomedical signals are introduced and analyzed, including electroencephalogram (EEG), electrocardiogram (ECG), heart rate (HR), magnetoencephalogram (MEG), and electromyogram (EMG). It explains the role of the CAD system in processing biomedical signals and the application to neurological disorder diagnosis. The book provides the basics of biomedical signal processing, optimization methods, and machine learning/deep learning techniques used in designing CAD systems for neurological disorders.
Download or read book Bio Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies written by Gupta, Shweta and published by IGI Global. This book was released on 2022-02-11 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: As there are no proper medical tests available to predict certain diseases such as Alzheimer’s and Parkinson’s at an early stage, there is a need to further study and consider the potential uses of bio- and nature-inspired algorithms and future technologies such as machine learning in correlation to disease detection and treatment. Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies considers new tools for early detection of cognitive brain diseases using devices and algorithms whose basic concept is taken from nature and discusses design, analysis, and application of various bionics or bio-inspired algorithms. Covering topics such as depression and cognitive science, this publication is an ideal resource for researchers, academicians, industry professionals, psychologists, psychiatrists, nurses, engineers, instructors, and students.
Download or read book 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems AICAS written by IEEE Staff and published by . This book was released on 2020-08-31 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence is driving a new revolution in domains ranging from manufacturing, automotive, healthcare, robotics, entertainment, and many others New computing platforms are required to support the emerging AI algorithms and applications, from cloud servers to edge devices, from system level to circuit level AICAS facilitates research, innovation and development activities at the frontiers of circuits and systems for AI It allows academia to meet industry from the international community to exchange experiences, demonstrate their studies and further advance AI technologies AICAS is the major conference for AI that stands between theory, applications, and ASICs The theme of AICAS2020 is Circuits and systems for efficient embedded AI , revolving around the development of hardware and computational strategies towards an increase in system efficiency that supports efficient, embedded, smart applications (such as mobile, robotics, automotive)
Download or read book Hardware for Artificial Intelligence written by Alexantrou Serb and published by Frontiers Media SA. This book was released on 2022-09-26 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt:
