Artificial Intelligence Driven Circuits And Systems
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Artificial Intelligence Driven Circuits and Systems by Biswajit Mishra,Jimson Mathew,Priyadarsan Patra Pdf
This book highlights selected papers presented at the 10th International Symposium on Embedded Computing and System Design (ISED) 2021. This symposium provides a platform for researchers to share the latest scientific achievements of embedded computing and system design. The book is divided into three broad sections. The first section discusses topics like VLSI and testing, circuits and systems with a focus on emerging technologies. The second section discusses topics like embedded hardware and software systems and novel applications. The final section discusses the state-of-the-art technologies involving IoT, artificial intelligence, green and edge computing that demonstrates the issues currently.
Emerging Electronic Devices, Circuits and Systems by Chandan Giri,Takahiro Iizuka,Hafizur Rahaman,Bhargab B. Bhattacharya Pdf
The book constitutes peer-reviewed proceedings of a workshop on Emerging Electronics Devices, Circuits, and Systems (EEDCS) held in conjunction with International Symposium on Devices, Circuits, and Systems (ISDCS 2022). The book focuses on the recent development in devices, circuits, and systems. It also discusses innovations, trends, practical challenges, and solutions adopted in device design, modeling, fabrication, characterization, and their circuit implementation with pertinent system applications. It will be useful for researchers, developers, engineers, academicians, and students.
2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) by IEEE Staff Pdf
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)
Intelligent Circuits and Systems for SDG 3 – Good Health and well-being by Bhaveshkumar Choithram Dharman,Suman Lata Tripathi Pdf
ICICS is a series of conferences initiated by School of Electronics and Electrical Engineering at Lovely Professional University. Looking at the response to the conference, the bi-annual conference now onwards will be annual. The 5th International Conference on Intelligent Circuits and Systems (ICICS 2023) will be focusing on intelligent circuits and systems for achieving the targets in Sustainable Development Goal (SDG) 3, identified as ‘Good Health and Wellbeing’ by United Nations (Refs: https://sdgs.un.org/goals/goal3, https://sdg-tracker.org/).
AI-Driven Digital Twin and Industry 4.0 by Sita Rani,Pankaj Bhambri,Sachin Kumar,Piyush Kumar Pareek,Ahmed A. Elngar Pdf
This book presents the role of AI-Driven Digital Twin in the Industry 4.0 ecosystem by focusing on Smart Manufacturing, sustainable development, and many other applications. It also discusses different case studies and presents an in-depth understanding of the benefits and limitations of using AI and Digital Twin for industrial developments. AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications introduces the role of Digital Twin in Smart Manufacturing and focuses on the Digital Twin framework throughout. It provides a summary of the various AI applications in the Industry 4.0 environment and emphasizes the role of advanced computational and communication technologies. The book offers demonstrative examples of AI-Driven Digital Twin in various application domains and includes AI techniques used to analyze the environmental impact of industrial operations along with examples. The book reviews the major challenges in the deployment of AI-Driven Digital Twin in the Industry 4.0 ecosystem and presents an understanding of how AI is used in the designing of Digital Twin for various applications. The book also enables familiarity with various industrial applications of computational and communication technologies and summarizes the ongoing research and innovations in the areas of AI, Digital Twin, and Smart Manufacturing while also tracking the various research challenges along with future advances. This reference book is a must-read and is very beneficial to students, researchers, academicians, industry experts, and professionals working in related fields.
Distributed Intelligent Circuits and Systems by Balwinder Baj,Brij B Gupta,Shailendra Singh,Monirujjaman Khan Pdf
The main objective of this book is to provide insights into recent advances in distributed intelligent circuits, systems and their applications. Distributed intelligence is the key enabler for innovations in machine-to-machine communications. The innovations are directed towards keeping existing algorithms as the base and developing new intelligent systems by employing smart technologies. Artificial intelligence (AI) and, more specifically, deep learning (DL) are receiving significant attention in assisting doctors in the detection of disease patterns without much human intervention. In agriculture, robots automate slow, repetitive and dull tasks, allowing farmers to focus more on improving overall production yields.The evolving trends point to the interface of artificial intelligence with machines being a factor in enhancing the decision-making capabilities of smart machines. This book provides relevant theoretical frameworks that include basic models, algorithms, circuit designs and the latest developments in experimental aspects in the field of distributed intelligence systems for industrial applications. The challenges encountered in the development of models for distributed intelligence systems for environmental monitoring are mitigated with artificial intelligence, machine learning and deep learning. This book identifies challenges and helps in applying solutions in the development of advanced intelligent systems for environmental monitoring.
Autonomous Driving Perception by Rui Fan,Sicen Guo,Mohammud Junaid Bocus Pdf
Discover the captivating world of computer vision and deep learning for autonomous driving with our comprehensive and in-depth guide. Immerse yourself in an in-depth exploration of cutting-edge topics, carefully crafted to engage tertiary students and ignite the curiosity of researchers and professionals in the field. From fundamental principles to practical applications, this comprehensive guide offers a gentle introduction, expert evaluations of state-of-the-art methods, and inspiring research directions. With a broad range of topics covered, it is also an invaluable resource for university programs offering computer vision and deep learning courses. This book provides clear and simplified algorithm descriptions, making it easy for beginners to understand the complex concepts. We also include carefully selected problems and examples to help reinforce your learning. Don't miss out on this essential guide to computer vision and deep learning for autonomous driving.
Driving 5G Mobile Communications with Artificial Intelligence towards 6G by Dragorad A. Milovanovic,Zoran S. Bojkovic,Tulsi Pawan Fowdur Pdf
Driving 5G Mobile Communications with Artificial Intelligence towards 6G presents current work and directions of continuously innovation and development in multimedia communications with a focus on services and users. The fifth generation of mobile wireless networks achieved the first deployment by 2020, completed the first phase of evolution in 2022, and started transition phase of 5G-Advanced toward the sixth generation. Perhaps one of the most important innovations brought by 5G is the platform-approach to connectivity, i.e., a single standard that can adapt to the heterogeneous connectivity requirements of vastly different use cases. 5G networks contain a list of different requirements, standardized technical specifications and a range of implementation options with spectral efficiency, latency, and reliability as primary performance metrics. Towards 6G, machine learning (ML) and artificial intelligence (AI) methods have recently proposed new approaches to modeling, designing, optimizing and implementing systems. They are now matured technologies that improve many research fields significantly. The area of wireless multimedia communications has developed immensely, generating a large number of concepts, ideas, technical specifications, mobile standards, patents, and articles. Identifying the basic ideas and their complex interconnections becomes increasingly important. The book is divided into three major parts, with each part containing four or five chapters: Advanced 5G communication Machine learning-based communication and network automation Artificial Intelligence towards 6G The first part discusses three main scenarios and standard specification of 5G use cases (eMBB, URLLC, mMTC), vehicular systems beyond 5G, and efficient edge architecture on NFV infrastructure. In the second part, different AI/ML-based methodologies and open research challenges are presented in introducing 5G-AIoT artificial intelligence of things, scheduling in 5G/6G communication systems, application of DL techniques to modulation, detection, and channel coding as well as 5G Open Source tools for experimentations and testing. The third part paved the way to deployment scenarios for different innovative services including technologies and applications of 5G/6G intelligent connectivity, AI-assisted eXtended Reality, integrated 5G-IoT architecture in next-generation Smart Grid, privacy requirements in a hyper-connected world, and evaluation of representative 6G use cases and technology trends. The book is written by field experts from Europe and Mauritius who introduce a blend of scuentific and engineering concepts covering this emerging wireless communication era. It is a very good reference book for telecom professionals, engineers, and practitioner in various 5G vertical domains and, finally, a basis for student courses in 5G/6G wireless systems.
Embedded Artificial Intelligence by Ovidiu Vermesan,Mario Diaz Nava,Björn Debaillie Pdf
Recent technological developments in sensors, edge computing, connectivity, and artificial intelligence (AI) technologies have accelerated the integration of data analysis based on embedded AI capabilities into resource-constrained, energy-efficient hardware devices for processing information at the network edge. Embedded AI combines embedded machine learning (ML) and deep learning (DL) based on neural networks (NN) architectures such as convolutional NN (CNN), or spiking neural network (SNN) and algorithms on edge devices and implements edge computing capabilities that enable data processing and analysis without optimised connectivity and integration, allowing users to access data from various sources. Embedded AI efficiently implements edge computing and AI processes on resource-constrained devices to mitigate downtime and service latency, and it successfully merges AI processes as a pivotal component in edge computing and embedded system devices. Embedded AI also enables users to reduce costs, communication, and processing time by assembling data and by supporting user requirements without the need for continuous interaction with physical locations. This book provides an overview of the latest research results and activities in industrial embedded AI technologies and applications, based on close cooperation between three large-scale ECSEL JU projects, AI4DI, ANDANTE, and TEMPO. The book’s content targets researchers, designers, developers, academics, post-graduate students and practitioners seeking recent research on embedded AI. It combines the latest developments in embedded AI, addressing methodologies, tools, and techniques to offer insight into technological trends and their use across different industries.
1337 Use Cases for ChatGPT & other Chatbots in the AI-Driven Era by Florin Badita Pdf
"1337 Use Cases for ChatGPT & other Chatbots in the AI-Driven Era" is a book written by Florin Badita that explores the potential uses of advanced large language models (LLMs) like ChatGPT in various industries and scenarios. The book provides 1337 use cases and around 4000 examples of how these technologies can be applied in the future. The author, Florin Badita, is a data scientist, social entrepreneur, activist, and artist who has written about his experiences with data analysis on Medium. He is on the Forbes 30 under 30 list, a TedX speaker, and Landecker Democracy Fellow 2021-2022. He is known for his work in activism, founding the civic group Corruption Kills in 2015, GIS, data analysis, and data mining. The book covers a variety of tips and strategies, including how to avoid errors when converting between different units, how to provide context and examples to improve the LLM's understanding of the content, and how to use the Markdown language to format and style text in chatbot responses. The book is intended for anyone interested in learning more about the capabilities and potential uses of ChatGPT and other language models in the rapidly evolving world of artificial intelligence. After the introduction part and the Table of content, the book is split into 20 categories, each category then being split into smaller categories with at least one use-case and multiple examples A real example from the book: Category: 4 Science and technology [...] Sub-Category: 4.60 Robotics 4.60.1 Text Generation General example text prompt: "Generate a description of a new robot design" Formula: "Generate [description] of [robot design]" Specific examples of prompts: "Generate a detailed description of a robot designed for underwater exploration" "Generate a brief overview of a robot designed for assisting with construction tasks" "Generate a marketing pitch for a robot designed to assist with household chores" 4.60.2 Programming Assistance General example text prompt: "Write code to implement a specific behavior in a robot" Formula: "Write code to [implement behavior] in [robot]" Specific examples of prompts: "Write code to make a robot follow a specific path using sensors and control algorithms" "Write code to make a robot respond to voice commands using natural language processing" "Write code to make a robot perform basic tasks in a manufacturing setting, such as moving objects from one location to another"
Neural Information Processing by Haiqin Yang,Kitsuchart Pasupa,Andrew Chi-Sing Leung,James T. Kwok,Jonathan H. Chan,Irwin King Pdf
The three-volume set of LNCS 12532, 12533, and 12534 constitutes the proceedings of the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020. Due to COVID-19 pandemic the conference was held virtually.The 187 full papers presented were carefully reviewed and selected from 618 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The first volume, LNCS 12532, is organized in topical sections on human-computer interaction; image processing and computer vision; natural language processing.
Convergence of Artificial Intelligence and the Internet of Things by George Mastorakis,Constandinos X. Mavromoustakis,Jordi Mongay Batalla,Evangelos Pallis Pdf
This book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by cloud-based Internet of Things (IoT) infrastructures. Major topics covered include the analysis and development of AI-powered mechanisms in future IoT applications and architectures. Further, the book addresses new technological developments, current research trends, and industry needs. Presenting case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoT networks, it strikes a good balance between theoretical and practical issues. It also provides technical/scientific information on various aspects of AI technologies, ranging from basic concepts to research grade material, including future directions. The book is intended for researchers, practitioners, engineers and scientists involved in the design and development of protocols and AI applications for IoT-related devices. As the book covers a wide range of mobile applications and scenarios where IoT technologies can be applied, it also offers an essential introduction to the field.
Biosensors for Emerging and Re-emerging Infectious Diseases by Jayashankar Das,Sushma Dave,S. Radhakrishnan,Padmaja Mohanty Pdf
Biosensors for Emerging and Re-Emerging Infectious Diseases provides a review of how cornerstone optical, electronic, nanomaterial and data processing technologies can address detection issues occurring in a pandemic event. This book gives insights into the fundamental physical, chemical and biological mechanisms needed for such a type of detection. The content covers potential biomarkers which can be used for the infectious disease diagnostic, helping readers find the appropriate approach for the diagnosis of infectious diseases. It presents a novel approach to transferring the sensing platform from lab to application in clinics and to point of care detection. The book then moves on to discuss the function and efficiency of the biosensing platform in early diagnosis of infectious diseases compared to the standard methods. The required time, the technician skills and the steps which must be performed are other key factors of the biosensing platform which are well explained. Covers applications of biosensors in diagnostics and detection of infection, and in the application of new materials in biosensor development Presents nano-biosensor based point-of-care technologies Introduces readers to the fundamentals of biosensors for infectious diseases
Smart Manufacturing Factory by Jiafu Wan,Baotong Chen,Shiyong Wang Pdf
Artificial Intelligence (AI) technologies enable manufacturing systems to sense the environment, adapt to external needs, and extract process knowledge, including business models such as intelligent production, networked collaboration, and extended service models. This book therefore focuses on the implementation of AI in customized manufacturing (CM). The main topics include edge intelligence in manufacturing, heterogeneous networks, intelligent fault diagnosis and maintenance, dynamic resource scheduling in manufacturing, and the construction mode of the smart factory. Based on the insights of CM and AI, the authors demonstrate the implementation of AI in the smart factory for CM, including architecture, information fusion, data analysis, dynamic scheduling, flexible production line construction, and smart manufacturing services. This book will provide important research content for scholars in artificial intelligence, smart manufacturing, machine learning, multi-agent systems, and industrial Internet of Things.
