Artificial Intelligence in Action

Artificial Intelligence in Action
Real-World Applications and Innovations

River Publishers Series in Computing and Information Science and Technology

Artificial Intelligence in Action
Real-World Applications and Innovations Forthcoming

Author: Ahmed Banafa, San Jose State University, USA

ISBN: 9788770046206 e-ISBN: 9788770046190

Available: June 2025

This comprehensive book dives deep into the current landscape of AI, exploring its fundamental principles, development challenges, potential risks, and the cutting-edge breakthroughs that are propelling it forward. Artificial intelligence (AI) is rapidly transforming industries and societies worldwide through groundbreaking innovations and real-world applications. Starting with the core concepts, the book examines the various types of AI systems, generative AI models, and the complexities of machine learning. It delves into the programming languages driving AI development, data pipelines, model creation and deployment processes, while shedding light on issues like AI hallucinations and the intricate path of machine unlearning.

The book then showcases the remarkable real-world applications of AI across diverse domains. From preventing job displacement and promoting environmental sustainability, to enhancing disaster response, drone technology, and even nuclear energy innovation, it highlights how AI is tackling complex challenges and driving positive change.
The book also explores the double-edged nature of AI, recognizing its tremendous potential while cautioning about the risks of misuse, unintended consequences, and the urgent need for responsible development practices. It examines the intersection of AI and fields like operating system design, warfare, and semiconductor technology, underscoring the wide-ranging implications of this transformative force.

As the quest for artificial general intelligence (AGI) and superintelligent AI systems intensifies, the book delves into cutting-edge research, emerging trends, and the pursuit of multimodal, explainable, and causally aware AI systems. It explores the symbiotic relationship between AI and human creativity, the rise of user-friendly "casual AI," and the potential of AI to tackle open-ended tasks.

This is an essential guide for understanding the profound impact of AI on our world today and its potential to shape our future. From the frontiers of innovation to the challenges of responsible development, this book offers a comprehensive and insightful exploration of the remarkable real-world applications and innovations driving the AI revolution.
Generative AI, ChatGPT, machine 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, Internet of Things (IoT), 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, voice user interface (VUI), 5G, virtual reality, augmented reality, Industrial Internet of Things (IIoT), 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, 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 (CNNs), 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, nuclear, programming languages, Python, JavaScript , Java, TensorFlow, explainable AI, XAI, sovereign AI, collective AI, casual AI, causal reasoning, AI models, semiconductor’s, super AI, general AI, narrow AI, AGI, ASI, ANI, multimodal AI, responsible AI, future of AI, nuclear AI, drones, natural disasters, compression engines, green AI, robots, AI alignments, AI hallucinations, sensate AI, objective-driven AI, AI hype, Elon Musk, deceptive AI, perfect AI.

Part 1: Fundamentals of AI
Generative AI and other types of AI
Challenges in Learning Generative AI
Exploring the Potential Downfalls of AI Technology
AI Hallucinations
AI and Machine Unlearning
Navigating the Forgotten Path
Programming Languages Used in AI Development
Unraveling the Challenges: Navigating the Barriers to Generative AI Success
Exploring the Challenges and Progress in AI Alignment
Creating AI Models: From Data to Deployment
Large Language Models as Data Compression Engines

Part 2: AI Applications
Can We Stop Robots from Replacing Humans
Green Artificial Intelligence
Artificial Intelligence and Natural Disasters
AI and Drones
Nuclear AI: Pioneering the Future of Nuclear Technology
Artificial Intelligence: A Double-Edged Sword for Environment and Climate

Part 3: Challenges and Opportunities
How Can Countries Regulate AI?
The Pinnacle of Artificial Intelligence: Navigating the Technological Odyssey
What Will Happen If AI Took Over Humanity?
Who Will Really Benefit from AI
The Significance of Establishing Regulatory Frameworks for Artificial Intelligence
The Intersection of Artificial Intelligence and Operating System Design
Emerging Trends in AI
The Future of AI: Unveiling the Next Frontier of Technological Advancement
The Two Sides of the Coin: Why Humans Should Both Embrace and Approach AI with Caution
Finding Your AI Ally: Choosing the Right AI for Your Business and Expanding Your Horizons with Powerful Tools
Dawn of the Machine: A Chronicle of the First Day Under Super AI
Exploring Standards for Responsible AI
The Power of Multimodal AI
A Deep Dive into Explainable AI
Artificial General Intelligence (AGI): The Quest for Human-Level Machine Minds
Super Artificial Intelligence (AI)
The Symbiotic Relationship Between AI and Semiconductors
AI and the Challenge of Causal Reasoning and Reasoning under Uncertainty
Pushing the Boundaries: AI for Creativity and Open-Ended Tasks
The Rise of Sovereign AI: A Technological Race with National Stakes
Collective AI: The Power of Collaboration in Artificial Intelligence
The Rise of the AI Whisperers: New Jobs in the Age of Generative AI
Bridging the Gap Between Symbolic and Subsymbolic AI
The Dark Side of AI: Risks, Challenges, and the Need for Responsible Development
Casual AI: The Rise of Accessible and User-Friendly Artificial Intelligence
Machines with Sight, Sound, Taste, Touch, and Speech
Objective-Driven AI: Optimizing for Specific Goals in a Complex World
AI Hype: The Challenges and Realities of Transformative Technology
The Controversial Convergence of AI and Warfare
The High Costs of Developing Advanced Artificial Intelligence
Artificial Intelligence Learns to Deceive Humans
Exploring the Realm of Perfect AI: Myth or Eventuality?