Toward Artificial General Intelligence: Deep Learning, Neural Networks, Generative AI

Victor Hugo C. de Albuquerque, Pethuru Raj, Satya Prakash Yadav. — De Gruyter, 2024. — 424 p. — ISBN: 978-3-11-132374-9.Artificial Intelligence (AI) has been an exciting field of study and research in educational institutions and research labs across the globe. Technology giants and IT organizations invest heavily in AI technologies and tools with the aim of precisely automating a variety of simple as well as complicated business operations across industry verticals. This book covers the latest trends and transitions happening in the futuristic AI domain. The book also focuses on machine and deep learning (ML/DL) algorithms, which are, undoubtedly, the mainstream implementation technologies of state-of-the-art AI systems and services. Also, there are chapters on computer vision (CV) and natural language processing (NLP), the primary use cases and applications of AI. The book has well-written chapters for demystifying AI model engineering methods. Further on, our esteemed readers can find details on AI model evaluation, optimization, deployment, and observability. Finally, the book deals with and describes generative AI, the latest buzzword in the IT industry.The science and engineering of creating intelligent machines, particularly intelligent computer programs, is known as Artificial Intelligence (AI). It is related to the more general field of computer science and deals with the development of algorithms, software, and peripheral technologies that are used to create intelligence in machines and to simulate intelligent behavior in robots and other electronic devices. Artificial neural networks (ANNs), robotics, Machine Learning, computer vision, and natural language processing (NLP) are just a few of the many technologies that go under the umbrella term “AI”.