AI and The Blockchain Technology: From Theory to Practice: Implementing AI and Blockchain for Scalable, Trustless Digital Solution (AI: How Superintelligence Will Shape the Future of Humanity) - Tapa blanda

Sinopsis

AI and The Blockchain Technology: From Theory to Practice
by Rohit Kumar Jaiswal

Harness the power of two revolutionary technologies—Artificial Intelligence and Blockchain—in one transformative guide.

This book reveals how to build, invest in, and lead the next generation of scalable, trustless digital systems that merge intelligent automation with decentralized architecture.

Whether you're a developer building dApps, a crypto investor tracking the next breakout protocol, or a strategist preparing for the 2025 AI-crypto boom, this is your complete playbook.

🔍 Why This Book Matters

Innovation Trifecta
Understand how AI maturity, institutional blockchain adoption, and macroeconomic shifts are converging to fuel a $1.8T+ transformation.

End-to-End Blueprint
Master the foundations of machine learning, blockchain consensus, smart contracts, and more—supported by practical code and system architecture.

Real-World Case Studies
Explore how TradeLens, MIT, and SingularityNET are already applying AI+Blockchain to revolutionize finance, logistics, and healthcare.

🧩 What You’ll Learn

1. Core Concepts
   – Supervised and unsupervised learning
   – Neural networks and model training
   – PoS vs. PoW consensus models
   – Merkle tree and ledger verification

2. Architectural Patterns
   – On-chain vs. off-chain computation
   – Decentralized AI marketplaces
   – Smart automation using DAOs and oracles

3. Industry Use Cases
   – AI-powered DeFi lending
   – Immutable logistics and supply chain tracking
   – Privacy-preserving healthcare diagnostics
   – Tokenized data and synthetic marketplaces

4. Security & Ethics
   – Adversarial ML defenses
   – Zero-knowledge proofs and private inference
   – GDPR/EU AI Act compliance
   – Ethical governance via DAOs

5. Investment Playbook
   – On-chain signals and trend indicators
   – Volatility-parity portfolio modeling
   – Risk-managed AI-crypto strategies

👤 Who Should Read This

Developers & Engineers
Build smart contracts, integrate AI, and launch dApps using Solidity, Python, and TensorFlow.

Crypto Investors & Analysts
Track staking ratios, oracle feeds, transaction flows, and Layer‑2 growth to make informed decisions.

Entrepreneurs & Strategists
Design decentralized services, monetize AI pipelines, and create token economy strategies for Web3.

Students & Researchers
Follow hands-on labs and GitHub-based exercises from beginner to advanced levels.

✨ Key Features

– Modular 3×3 chapter framework for fast reference or deep dives
– Practical coding labs with real-world examples
– Access to exclusive communities via Discord, Telegram, and GitHub
– Coverage of tokenized compute, autonomous agents, and quantum-resilient networks

❓ FAQs

Q: Do I need AI or blockchain experience?
A: No. This book explains concepts from scratch and includes step-by-step examples for all levels.

Q: Is it more technical or strategic?
A: It blends both—practical code and architecture + investment and governance strategies.

Q: Will I build real AI+Blockchain projects?
A: Yes. You’ll work through examples like smart agents, tokenized data flows, and secure computation.

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