Transformative AI

Transformative AI
Responsible,Transparent, and Trustworthy AI systems

River Publishers Series in Computing and Information Science and Technology

Transformative AI
Responsible,Transparent, and Trustworthy AI systems Forthcoming

Author: Ahmed Banafa, San Jose State University, CA USA

ISBN: 9788770040198 e-ISBN: 9788770040181

Available: October 2023

Transformative AI provides a comprehensive overview of the latest trends, challenges, applications, and opportunities in the field of Artificial Intelligence. The book covers the state of the art in AI research, including machine learning, natural language processing, computer vision, and robotics, and explores how these technologies are transforming various industries and domains, such as healthcare, finance, education, and entertainment.
The book also addresses the challenges that come with the widespread adoption of AI, including ethical concerns, bias, and the impact on jobs and society. It provides insights into how to mitigate these challenges and how to design AI systems that are responsible, transparent, and trustworthy.
The book offers a forward-looking perspective on the future of AI, exploring the emerging trends and applications that are likely to shape the next decade of AI innovation. It also provides practical guidance for businesses and individuals on how to leverage the power of AI to create new products, services, and opportunities.
Overall, the book is an essential read for anyone who wants to stay ahead of the curve in the rapidly evolving field of Artificial Intelligence and understand the impact that this transformative technology will have on our lives in the coming years.
Generative AI, ChatGPT, Machin Learning, Deep Learning, Computer Vision, Quantum Computing, Affective Computing, Fog Computing, Cloud Computing, Big Data, Small Data, Thick Data, Big Data Analytics, AI, Blockchain, Bitcoin, Ethereum, IoT, Internet of Things, Cybersecurity, Network Security, Zero-Trust Model, Deep Learning, Google, Facebook, Quantum Cryptography, Quantum Cryptography, Quantum Internet. Wearable Computing Devices (WCD). Autonomic Computing, Cryptocurrency, Smart Contracts. Hybrid Cloud Computing, Private Cloud Computing, Hybrid Blockchain, Private Blockchain, Hybrid Blockchain, Superposition, Entanglement, Quantum Communications, VUI, Voice User Interface, 5G, Virtual Reality, Augment Reality, IIoT, Industrial Internet of Things, Robots, Open Source, Microsoft, Wearable Technology, Smart Devices, Alexa, Siri, R2D2, C3PO , Jarvis, Sci-Fi movies, Wi-Fi , 5G, LTE, IEEE, Digital Transformation, AI Ethics, Autonomous Cars, Natural Language Processing (NLP), Narrow AI, General AI, Super AI, CNN, Neural Networks, Quantum Machine Learning (QML), Facial Recognition, Driverless Cars, Explainable AI. Environment and sustainability, Reactive Machines . Limited Memory, Theory of Mind, Self-Aware, Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), Autoregressive models, Feedforward. Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Long Short-Term Memory Networks, Autoencoders, Natural Language Generation (NLG), Driver Assistance, Partial Automation, Conditional Automation, High Automation , Full Automation ,Twitter, NetFlix , NYTimes, PayPal