Download or read book 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems AICAS written by IEEE Staff and published by . This book was released on 2023-06-11 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 Architecture for AI computing Hardware software co design and design automation for AI systems Advanced neural network design Neuromorphic circuits, processors, and systems and their applications Emerging applications Internet of things, healthcare, smart factories, environment Emerging devices and materials for AI Computer vision algorithms and architectures Recommendation system, language text processing Autonomous unmanned vehicles and drone Robotics and automation Metaverse and AR VR Deep learning machine learning for Future Wireless Communications

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 Advances in Artificial Intelligence written by Amparo Alonso-Betanzos and published by Springer Nature. This book was released on with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Machine Learning and Cryptographic Solutions for Data Protection and Network Security written by Ruth, J. Anitha and published by IGI Global. This book was released on 2024-05-31 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the relentless battle against escalating cyber threats, data security faces a critical challenge – the need for innovative solutions to fortify encryption and decryption processes. The increasing frequency and complexity of cyber-attacks demand a dynamic approach, and this is where the intersection of cryptography and machine learning emerges as a powerful ally. As hackers become more adept at exploiting vulnerabilities, the book stands as a beacon of insight, addressing the urgent need to leverage machine learning techniques in cryptography. Machine Learning and Cryptographic Solutions for Data Protection and Network Security unveil the intricate relationship between data security and machine learning and provide a roadmap for implementing these cutting-edge techniques in the field. The book equips specialists, academics, and students in cryptography, machine learning, and network security with the tools to enhance encryption and decryption procedures by offering theoretical frameworks and the latest empirical research findings. Its pages unfold a narrative of collaboration and cross-pollination of ideas, showcasing how machine learning can be harnessed to sift through vast datasets, identify network weak points, and predict future cyber threats.

Download or read book 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems AICAS written by IEEE Staff and published by . This book was released on 2019-03-18 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 1 Circuits and systems for AI 2 Deep learning machine learning AI algorithms 3 Tools Platforms for AI 4 Architecture for AI computing 5 Edge and cloud AI computing platforms 6 Hardware accelerators 7 Neuromorphic processors 8 Hardware software co design and design automation for AI systems 9 Advanced neural network design 10 Emerging applications Deep learning for Internet of Things 11 Emerging applications of AI Medical AI 12 Emerging applications of AI Autonomous Vehicle 13 Emerging applications of AI Smart Factory and Environment

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 Advances in AI for Biomedical Instrumentation Electronics and Computing written by Vibhav Sachan and published by CRC Press. This book was released on 2024-06-13 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceedings of 5th International Conference on Advances in AI for Biomedical Instrumentation, Electronics and Computing (ICABEC - 2023), which provided an international forum for the exchange of ideas among researchers, students, academicians, and practitioners. It presents original research papers on subjects of AI, Biomedical, Communications & Computing Systems. Some interesting topics it covers are enhancing air quality prediction using machine learning, optimization of leakage power consumption using hybrid techniques, multi-robot path planning in complex industrial dynamic environment, enhancing prediction accuracy of earthquake using machine learning algorithms and advanced machine learning models for accurate cancer diagnostics. Containing work presented by a diverse range of researchers, this book will be of interest to students and researchers in the fields of Electronics and Communication Engineering, Computer Science Engineering, Information Technology, Electrical Engineering, Electronics and Instrumentation Engineering, Computer applications and all interdisciplinary streams of Engineering Sciences.

Download or read book New Trends in Disruptive Technologies Tech Ethics and Artificial Intelligence written by Daniel H. de la Iglesia and published by Springer Nature. This book was released on 2023-07-21 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers the evidence-based insights into the ethical considerations surrounding disruptive technologies. In the rapidly evolving landscape of technology, where breakthroughs in artificial intelligence, big data, the Internet of Things, and bioinformatics have revolutionized our world, a critical need arises to reassess our ethical frameworks. This need has given birth to the thriving field of technology ethics, or tech ethics, which has grown exponentially in recent years. Once a niche area of research, it now encompasses a multitude of technology experts dedicated to understanding the societal impact of these advancements and striving for the development of more ethically grounded technology. At the forefront of this movement stands the International Conference on Disruptive Technologies, Tech Ethics, and Artificial Intelligence (DITTET 2023). Serving as a paramount platform for scholars, professionals, and experts, this conference presents an unparalleled opportunity to explore the latest scientific and technical progress and its profound ethical implications. DITTET facilitates the exchange of cutting-edge research on disruptive technologies, fostering knowledge transfer and collaboration among interdisciplinary fields. DITTET 2023 aspires to bring together a diverse range of industry leaders, humanists, and academics, providing a comprehensive overview of the scientific advancements and applications of artificial intelligence while examining their ethical dimensions in areas such as climate change, politics, economy, and security. By delving into these crucial topics, the conference aims to unravel the intricate relationship between technology and ethics, paving the way for responsible and conscientious innovation in today's world.

Download or read book 2023 IEEE 5th International Conference on Power Intelligent Computing and Systems ICPICS written by IEEE Staff and published by . This book was released on 2023-07-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: ICPICS 2023 provides a forum for researchers and practitioners involved in different but related domains to confront research results and discuss key problems The scope of ICPICS 2023 includes the research and development fields of collaboration technologies and their applications to power, intelligent computing and systems in industries and societies Application domains include, but are not limited to power, intelligent computing, systems, communication, network, and many others Prospective authors are invited to submit high quality original research and technical contributions for presentations and posters in conference

Download or read book EdgeAI for Algorithmic Government written by Rajan Gupta and published by Springer Nature. This book was released on 2023-03-26 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides various EdgeAI concepts related to its architecture, key performance indicators, and enabling technologies after introducing algorithmic government, large-scale decision-making, and computing issues in the cloud and fog. With advancements in technology, artificial intelligence has permeated our personal lives and the fields of economy, socio-culture, and politics. The integration of artificial intelligence (AI) into decision-making for public services is changing how governments operate worldwide. This book discusses how algorithms help the government in various ways, including virtual assistants for busy civil servants, automated public services, and algorithmic decision-making processes. In such cases, the implementation of algorithms will occur on a massive scale and possibly affect the lives of entire communities. The cloud-centric architecture of artificial intelligence brings out challenges of latency, overhead communication, and significant privacy risks. Due to the sheer volume of data generated by IoT devices, the data analysis must be performed at the forefront of the network. This introduces the need for edge computing in algorithmic government. EdgeAI, the confluence of edge computing and AI, is the primary focus of this book. It also discusses how one can incorporate these concepts in algorithmic government through conceptual framework and decision points. Finally, the research work emphasizes some design challenges in edge computing from applications viewpoint. This book will be helpful for data engineers, data scientists, cloud engineers, data management experts, public policymakers, administrators, research scholars and academicians.

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 Robotic Computing on FPGAs written by Shaoshan Liu and published by Morgan & Claypool Publishers. This book was released on 2021-06-30 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough overview of the state-of-the-art field-programmable gate array (FPGA)-based robotic computing accelerator designs and summarizes their adopted optimized techniques. This book consists of ten chapters, delving into the details of how FPGAs have been utilized in robotic perception, localization, planning, and multi-robot collaboration tasks. In addition to individual robotic tasks, this book provides detailed descriptions of how FPGAs have been used in robotic products, including commercial autonomous vehicles and space exploration robots.

Download or read book Resistive Random Access Memory RRAM written by Shimeng Yu and published by Springer Nature. This book was released on 2022-06-01 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: RRAM technology has made significant progress in the past decade as a competitive candidate for the next generation non-volatile memory (NVM). This lecture is a comprehensive tutorial of metal oxide-based RRAM technology from device fabrication to array architecture design. State-of-the-art RRAM device performances, characterization, and modeling techniques are summarized, and the design considerations of the RRAM integration to large-scale array with peripheral circuits are discussed. Chapter 2 introduces the RRAM device fabrication techniques and methods to eliminate the forming process, and will show its scalability down to sub-10 nm regime. Then the device performances such as programming speed, variability control, and multi-level operation are presented, and finally the reliability issues such as cycling endurance and data retention are discussed. Chapter 3 discusses the RRAM physical mechanism, and the materials characterization techniques to observe the conductive filaments and the electrical characterization techniques to study the electronic conduction processes. It also presents the numerical device modeling techniques for simulating the evolution of the conductive filaments as well as the compact device modeling techniques for circuit-level design. Chapter 4 discusses the two common RRAM array architectures for large-scale integration: one-transistor-one-resistor (1T1R) and cross-point architecture with selector. The write/read schemes are presented and the peripheral circuitry design considerations are discussed. Finally, a 3D integration approach is introduced for building ultra-high density RRAM array. Chapter 5 is a brief summary and will give an outlook for RRAM’s potential novel applications beyond the NVM applications.

Download or read book Processing in Memory for AI written by Joo-Young Kim and published by Springer Nature. This book was released on 2022-07-09 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction to processing-in-memory (PIM) technology, from its architectures to circuits implementations on multiple memory types and describes how it can be a viable computer architecture in the era of AI and big data. The authors summarize the challenges of AI hardware systems, processing-in-memory (PIM) constraints and approaches to derive system-level requirements for a practical and feasible PIM solution. The presentation focuses on feasible PIM solutions that can be implemented and used in real systems, including architectures, circuits, and implementation cases for each major memory type (SRAM, DRAM, and ReRAM).

Download or read book Machine Learning in VLSI Computer Aided Design written by Ibrahim (Abe) M. Elfadel and published by Springer. This book was released on 2019-03-15 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog design, logic synthesis, verification, and neuromorphic design. Provides up-to-date information on machine learning in VLSI CAD for device modeling, layout verifications, yield prediction, post-silicon validation, and reliability; Discusses the use of machine learning techniques in the context of analog and digital synthesis; Demonstrates how to formulate VLSI CAD objectives as machine learning problems and provides a comprehensive treatment of their efficient solutions; Discusses the tradeoff between the cost of collecting data and prediction accuracy and provides a methodology for using prior data to reduce cost of data collection in the design, testing and validation of both analog and digital VLSI designs. From the Foreword As the semiconductor industry embraces the rising swell of cognitive systems and edge intelligence, this book could serve as a harbinger and example of the osmosis that will exist between our cognitive structures and methods, on the one hand, and the hardware architectures and technologies that will support them, on the other....As we transition from the computing era to the cognitive one, it behooves us to remember the success story of VLSI CAD and to earnestly seek the help of the invisible hand so that our future cognitive systems are used to design more powerful cognitive systems. This book is very much aligned with this on-going transition from computing to cognition, and it is with deep pleasure that I recommend it to all those who are actively engaged in this exciting transformation. Dr. Ruchir Puri, IBM Fellow, IBM Watson CTO & Chief Architect, IBM T. J. Watson Research Center

Download or read book Artificial Intelligence in Society written by OECD and published by OECD Publishing. This book was released on 2019-06-11 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.