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Artificial intelligence

See below for a selection of the latest books from Artificial intelligence category. Presented with a red border are the Artificial intelligence books that have been lovingly read and reviewed by the experts at Lovereading. With expert reading recommendations made by people with a passion for books and some unique features Lovereading will help you find great Artificial intelligence books and those from many more genres to read that will keep you inspired and entertained. And it's all free!

Genius Makers

Genius Makers

Author: Cade Metz Format: Hardback Release Date: 18/03/2021

The Genius Makers tells the story of AI from pioneering days to current achievements to future potential. At the same time it takes the lid off what has effectively become an arms race between Google, Microsoft, Facebook and OpenAI, in which Google may be the clear frontrunner at present, but Facebook has shown itself to be both nimble and innovative, and OpenAI, the company recently founded by Elon Musk and Sam Altman, has made itself the confident upstart of the pack. Each of these companies represents something unique in the development of a technology that offers both extraordinary potential and extraordinary risks. Their personalities and business strategies are already changing the tech landscape in dramatic ways. And they will continue to do so.As well as explaining and exploring artificial intelligence and showing how individuals and companies are reaching for it, The Genius Makers also poses serious ethical questions about the technology. Should we even be pursuing it? How will strong AI change humanity? Will it carve out a giant hole in our job market? Are these companies blinded by the riches this technology will bring? Are they forgetting the existential realities of creating machines that behave like humans?Written by an expert who has exclusive access to each of these companies - and others who are working in this field - this is a rich, character-driven narrative that captures an extraordinary moment in the history of technology.

Generalization With Deep Learning: For Improvement On Sensing Capability

Generalization With Deep Learning: For Improvement On Sensing Capability

Author: Zhenghua (Institute For Infocomm Research, S'pore) Chen Format: Hardback Release Date: 18/03/2021

Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep learning technology can be a very good candidate for improving sensing capabilities.In this edited volume, we aim to narrow the gap between human and machine by showcasing various deep learning applications in the area of sensing. The book will cover the fundamentals of deep learning techniques and their applications in real-world problems including activity sensing, remote sensing and medical sensing. It will demonstrate how different deep learning techniques help to improve the sensing capabilities and enable scientists and practitioners to make insightful observations and generate invaluable discoveries from different types of data.

Artificial Intelligence and Global Society

Artificial Intelligence and Global Society

Author: Puneet Kumar Format: Hardback Release Date: 16/03/2021

In the everlasting battle between human intelligence and machine intelligence, the machines are very close to surpass the human intelligence in the current era. The profuse use of digital technologies in making the processes automated to some extent was one of the prime advantage of Third Industrial Revolution. As a result, all developed as well as developing nations have started digitalization of their mundane tasks. Due to this, the digital technologies or ICT (Information and Communication Technologies) have got very high market space in terms of infrastructure building, employment generation, education sector reforms, funds mobilization, electronic governance, hardware manufacturing, software development etc. Hence, it is evident that every segment of the society is being penetrated by ICT or digitalization. This book is an attempt to throw spotlight on the areas where AI is proving to be a boon. The salient features of the book include: Impact of digitalization and AI on Governance The novel AI practices being followed across the global community in the domain of security, health care, crime prevention and detection, education, agriculture, sensor networks etc. Innovative techniques which can be adopted in future to ensure better quality and better delivery of services to the society Avenues for further research that can be done by the research community and student fraternity This book will be a guide for university students especially from the technical background, industries, NGOs and Policy makers.

Deep Learning For Eeg-based Brain-computer Interfaces: Representations, Algorithms And Applications

Deep Learning For Eeg-based Brain-computer Interfaces: Representations, Algorithms And Applications

Author: Xiang (Unsw, Australia & Harvard Univ, Usa) Zhang, Lina (Unsw, Australia) Yao Format: Hardback Release Date: 15/03/2021

Deep Learning for EEG-based Brain-Computer Interfaces is an exciting book that describes how emerging deep learning improves the future development of Brain-Computer Interfaces (BCI) in terms of representations, algorithms, and applications. BCI bridges humanity's neural world and the physical world by decoding an individuals' brain signals into commands recognizable by computer devices.This book presents a highly comprehensive summary of commonly-used brain signals; a systematic introduction of around 12 subcategories of deep learning models; a mind-expanding summary of 200+ state-of-the-art studies adopting deep learning in BCI areas; an overview of a number of BCI applications and how deep learning contributes, along with 31 public BCI datasets. The authors also introduce a set of novel deep learning algorithms aimed at current BCI challenges such as robust representation learning, cross-scenario classification, and semi-supervised learning. Various real-world deep learning-based BCI applications are proposed and some prototypes are presented. The work contained within proposes effective and efficient models which will provide inspiration for people in academia and industry who work on BCI.

Green Internet of Things for Smart Cities

Green Internet of Things for Smart Cities

The bright future of green IoT will change our tomorrow environment to become healthier and green, with very high quality of service that is socially, environmentally, and economically sustainable. This book covers the most recent advances in IoT, it discusses Smart City implementation, and offers both quantitative and qualitative research. It focuses on greening things such as green communication and networking, green design and implementations, green IoT services and applications, energy saving strategies, integrated RFIDs and sensor networks, mobility and network management, the cooperation of homogeneous and heterogeneous networks, smart objects, and green localization. This book with its wide range of related topics in IoT and Smart City, will be useful for graduate students, researchers, academicians, institutions, and professionals that are interested in exploring the areas of IoT and Smart City.

Swarm Intelligence Optimization

Swarm Intelligence Optimization

Author: Abhishek Kumar Format: Hardback Release Date: 10/03/2021

Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.

Futureproof

Futureproof

Author: Kevin Roose Format: Hardback Release Date: 09/03/2021

'Kevin Roose provides a clear, compelling strategy for surviving the next wave of technology with our jobs - and souls - intact... Futureproof is the survival guide you need' Charles Duhigg, The Power of Habit In this timely, counterintuitive, and highly practical guide to the age of A.I. and automation, a New York Times technology columnist argues that the key to success is making yourself more human, not less. The machines are here. After decades of sci-fi doomsaying and marketing hype, advanced A.I. and automation technologies have leapt out of research labs and Silicon Valley engineering departments and into the center of our lives. The world's biggest corporations are racing to automate jobs, and some experts predict that A.I could put millions of people out of work. But all is not lost. With a little effort, we can become futureproof. In Futureproof: 9 Rules for Machine-Age Humans, New York Times technology columnist Kevin Roose lays out an optimistic vision of how people can thrive in the machine age by rethinking their relationship with technology, and making themselves irreplaceably human.

Data Protection and Privacy in Healthcare

Data Protection and Privacy in Healthcare

Author: Ahmed (Beni-Suef University, Egypt) Elngar Format: Hardback Release Date: 05/03/2021

The Healthcare industry is one of the largest and rapidly developing industries. Over the last few years, healthcare management is changing from disease centered to patient centered. While on one side the analysis of healthcare data plays an important role in healthcare management, but on the other side the privacy of a patient's record must be of equal concern. This book uses a research-oriented approach and focuses on privacy-based healthcare tools and technologies. It offers details on privacy laws with real-life case studies and examples, and addresses privacy issues in newer technologies such as Cloud, Big Data, and IoT. It discusses the e-health system and preserving its privacy, and the use of wearable technologies for patient monitoring, data streaming and sharing, and use of data analysis to provide various health services. This book is written for research scholars, academicians working in healthcare and data privacy domains, as well as researchers involved with healthcare law, and those working at facilities in security and privacy domains. Students and industry professionals, as well as medical practitioners might also find this book of interest.

The Road to Conscious Machines

The Road to Conscious Machines

Author: Michael Wooldridge Format: Paperback / softback Release Date: 04/03/2021

'A terrific book - essential reading for everyone seeking to make sense of Artificial Intelligence' Professor Sir Adrian Smith, Director and Chief Executive of the Alan Turing Institute In this myth-busting guide to AI past and present, one of the world's leading researchers shows why our fears for the future are misplaced. The ultimate dream of AI is to build machines that are like us: conscious and self-aware. While this remains a remote possibility, rapid progress in AI is already transforming our world. Yet the public debate is still largely centred on unlikely prospects, from sentient machines to dystopian robot takeovers. In this lively and clear-headed guide, Michael Wooldridge challenges the prevailing narrative, revealing how the hype distracts us from both the more immediate risks that this technology poses - from algorithmic bias to fake news - and the true life-changing potential of the field. The Road to Conscious Machines elucidates the discoveries of AI's greatest pioneers from Alan Turing to Demis Hassabis, and what today's researchers actually think and do. 'Nobody understands the past, the present, the promise and the peril of this new technology better than Michael Wooldridge. The definitive account' Matt Ridley, author of The Rational Optimist 'Effortlessly readable. The perfect guide to the history and future of AI' Tom Chivers, author of The AI Does Not Hate You

Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

Author: Ming Zhang Format: Paperback / softback Release Date: 28/02/2021

Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box artificial higher order neural networks (HONNs) play an important role in this new direction. HONNs will challenge traditional artificial neural network products and change the research methodology that people are currently using in control and recognition areas for the control signal generating, pattern recognition, nonlinear recognition, classification, and prediction. Since HONNs are open box models, they can be easily accepted and used by individuals working in information science, information technology, management, economics, and business fields. Emerging Capabilities and Applications of Artificial Higher Order Neural Networks contains innovative research on how to use HONNs in control and recognition areas and explains why HONNs can approximate any nonlinear data to any degree of accuracy, their ease of use, and how they can have better nonlinear data recognition accuracy than SAS nonlinear procedures. Featuring coverage on a broad range of topics such as nonlinear regression, pattern recognition, and data prediction, this book is ideally designed for data analysists, IT specialists, engineers, researchers, academics, students, and professionals working in the fields of economics, business, modeling, simulation, control, recognition, computer science, and engineering research.

Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

Author: Ming Zhang Format: Hardback Release Date: 28/02/2021

Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box artificial higher order neural networks (HONNs) play an important role in this new direction. HONNs will challenge traditional artificial neural network products and change the research methodology that people are currently using in control and recognition areas for the control signal generating, pattern recognition, nonlinear recognition, classification, and prediction. Since HONNs are open box models, they can be easily accepted and used by individuals working in information science, information technology, management, economics, and business fields. Emerging Capabilities and Applications of Artificial Higher Order Neural Networks contains innovative research on how to use HONNs in control and recognition areas and explains why HONNs can approximate any nonlinear data to any degree of accuracy, their ease of use, and how they can have better nonlinear data recognition accuracy than SAS nonlinear procedures. Featuring coverage on a broad range of topics such as nonlinear regression, pattern recognition, and data prediction, this book is ideally designed for data analysists, IT specialists, engineers, researchers, academics, students, and professionals working in the fields of economics, business, modeling, simulation, control, recognition, computer science, and engineering research.