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Kataria A: Explainable AI for Healthcare

Explainable AI for Healthcare

Real-life Applications and Use- Cases for Practitioners

2. Understanding the Framework of Explainable AI in Healthcare 3. The Role of Transparency and Interpretability in Healthcare AI 4. Ethical Considerations in Implementing Explainable AI in Healthcare 5. Advancing Healthcare with Explainable AI: Enhancing Patient Monitoring and Outcomes 6. Navigating Interpretability in AI: Balancing Performance, Standards, and Practical Guidance 7. Applications of Explainable AI in Diagnosis and Treatment 8. Challenges and Solutions in Deploying Explainable AI in Smart Healthcare Systems 9. Case Studies: Real-world Examples of Explainable AI in Healthcare 10. Future Directions and Innovations in Explainable AI for HealthcareAppendix -A

Distributed Computing and Intelligent Data Analytics

A Path to Sustainable Development Goals

AI and ML Techniques in IoT-based Communication

Methods, Applications, and Implications

Adaptive AI in Sensor Informatics

Depending on who you ask, artificial intelligence is our salvation or our doom; an overhyped, bigoted artist or the ticket to immortality and utopian abundance; just another tech fad or the last invention we need ever make. The AI discourse is confusing, messy, and frustrating. But the technology — and our response to it — will shape the future, whether or not we’re part of the conversation.
Obsolete is&nbsp;for those who are interested in learning more about AI, but unsure of where to start and who to believe. They may feel intimidated by the technical jargon, put off by dry and abstract prose, or skeptical of the loudest voices on the issue (like Elon Musk and Sam Altman). Obsolete will introduce readers to the basics of AI, the idea that it could lead to human extinction, the roiling three-sided debate surrounding extinction fears, and the people and companies trying to build artificial general intelligence (AGI) — that which can outwit humans across the board. The book will grapple with the core arguments animating the AI debates, which are, by turns, uncritically parroted and unduly dismissed. It will also cut through industry hype while seriously entertaining the implications of AGI.
The risk that AGI could result in our extinction is being recognized by a significant and growing number of leading AI researchers, industrialists, and policymakers, along with the wider public. Existential risk from AI has been explored in other books, but Obsolete will be the first to center its analysis on how both capitalist and great power competition make AI more dangerous.
Obsolete will also tackle questions like: Can machines actually outsmart humanity? If so, when could that happen? If AGI is possible, is it inevitable? Why are people trying to build a technology they claim could end the world? Is the idea of AI-driven extinction the product of a big tech conspiracy aiming to hype the technology and control its regulation? Why has the left mostly ignored or dismissed existential risk from AI? Why do some powerful techies welcome human extinction? How could AI enable stable authoritarian regimes? How could killer robots reshape war and the balance of power? What do China and the US want from AI? And why has it become the front line of their brewing Cold War? And finally: What can and should the left do about it?

Power, Profit, And The Race For Machine Superintelligence

Obsolete

The Linux Memory Manager

Deep Learning in Computer Vision

Egalitarianism

Set in Tel Aviv's Bitcoin Embassy between 2017 and 2019, Community in a Crowd explores the everyday activities and social dynamics of Israeli Bitcoin enthusiasts. It examines how participants promoted Libertarian narratives and ritualized practices to challenge the moral authority of the 'centralized' political-economic order. Revisiting Bitcoin's popular association with radical individualism, the book contrasts the sprawling, impersonal crowds of online trading with the formation of an intimate, egalitarian community through in-person encounters. Advancing a new theoretical framework, it offers insights into contemporary mass movements grounded in techno-utopian visions of society and reconsiders how decentralized technologies foster both anonymity and solidarity.

Bitcoin and the Quest for Liberty in Tel Aviv

Community in a Crowd

This book is a comprehensive guide that immerses you into the world of building and deploying AI-powered solutions. You are introduced to the core architecture of LLMs and equipped with essential Best Data Practices (BDPs) for utilizing Generative AI responsibly, ensuring ethical and efficient AI deployment.The book starts with the foundational aspects of Generative AI application development. You will learn the nuances of data handling in Generative AI apps, from working with embeddings to managing unstructured and structured data, and handling Personally Identifiable Information (PII) data. The exploration extends to understanding the differences between deterministic and LLM-based data synthesis and integrating Generative AI apps with enterprise data, providing you with practical insights into leveraging data effectively for intelligent applications. A chapter on prompt engineering explains the importance of prompts in AI interactions, covering a spectrum of techniques and pitfalls while offering exercises to enhance prompt engineering skills. As you progress through the book, you take a journey from conceptualization to production and deployment of Generative AI applications. You discover the essentials of Generative AI application development, gain insights into the pathway from ideation to production, and explore the intricacies of LLM selection and fine-tuning.The book equips you with the knowledge and tools necessary to navigate the complex terrain of AI development and deployment, making it an indispensable resource for AI enthusiasts, developers, and business leaders alike.What You Will Learn<ul><li>Know the core architecture of LLMs and how these models have revolutionized AI applications</li><li>Handle various data types, including unstructured, structured, and personally identifiable information (PII) data in Generative AI applications</li><li>Understand prompt engineering and its importance in AI interactions and applications</li><li>Understand modular design of Generative AI apps, essential backend and frontend components, and the unique principles guiding Generative AI app design</li></ul>&nbsp;&nbsp;

Explainable AI for Healthcare

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