Toward Artificial General Intelligence

£133.50

Toward Artificial General Intelligence

Deep Learning, Neural Networks, Generative AI

Information technology: general topics Practical applications of information technology Machine learning

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Language: English

Published by: De Gruyter

Published on: 6th November 2023

Format: LCP-protected ePub

ISBN: 9783111324166


Artificial Intelligence (AI) Overview

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.

Recent Developments in AI

The book presents the recent ground-breaking changes taking place in the aspects of AI model building, hosting, running, and maintaining in cloud environments.

Articulates and accentuates the most recent developments taking place in the domain of Artificial Intelligence.

Covers the noteworthy innovations and disruptions towards Generative Artificial Intelligence (Generative AI).

Explains the breakthrough innovations and disruptions towards Artificial General Intelligence (AGI).

And delineates an engaging discussion of Natural Language Processing, Neuromorphic Systems, and Biometrics.

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