Toward Artificial General Intelligence : Deep Learning, Neural Networks, Generative Ai, Hardcover by De Albuquerque, Victor Hugo C. (EDT); Raj, Pethuru (EDT); Yadav, Satya Prakash (EDT), ISBN 3111323560, ISBN-13 9783111323565, Brand New, Free shipping in the US
Artifi cial Intelligence (AI) has been an exciting fi eld of study and research in educational institutions and research labs across the globe. Technology giants and IT organizations invest heavily on AI technologies and tools with the aim of preciselyautomating a variety of simple as well as complicated business operations acrossindustry verticals. This book covers the latest trends and transitions happening in thefuturistic AI domain. Th also focuses on machine and deep learning (ML/DL)algorithms, which are, undoubtedly, the mainstream implementation technologies ofstate-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 applicationsof AI. Th has well-written chapters for demystifying AI model engineeringmethods. Further on, our esteemed readers can fi nd details on AI model evaluation,optimization, deployment and observability. Finally, th deals and describesgenerative AI, the latest buzzword in the IT industry.
Th
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 Artifi cial Intelligence,
covers the noteworthy innovations and disruptions towards Generative Artifi cial
Intelligence (Generative AI),
explains the breakthrough innovations and disruptions towards Artifi cial General
Intelligence (AGI)
and delineates an engaging discussion of Natural Language Processing, Neuromorphic Systems and Biometrics.
