Table of Contents
Artificial Intelligence Translates the Language of Animals
Kim Kyung-jin, Attorney at Law
The Story of AI Learning to Listen to Whales, Dolphins, Birds, and Bees
Twelve chapters on how AI listens to dolphins, sperm whales, humpback whales, birds, and bees to find rules in their sounds, and what this technology means for its risks and for animal rights. Written in simple sentences a child can read, with verified sources in every section.
Table of Contents
AI Deciphers Ancient Scripts
Kim Kyung-jin, Attorney at Law
Ancient Records Revived by AI
In twelve chapters, this book explains how AI revives records once unreadable, from burned scrolls and wooden slips buried in mud to broken clay tablets. It covers virtual unrolling at Herculaneum, virtual collation of oracle-bone texts, reading Silla wooden tablets, computational analysis of undeciphered scripts, and multispectral archives, with verified references for each chapter.
Table of Contents
Artificial Intelligence for New Materials Design and Rocket Propulsion Engineering
Kim Kyung-jin, Attorney at Law
AI Potentials, Self-Driving Laboratories, and Physics-Informed Machine Learning (PIML)
Ten chapters on how artificial intelligence is changing new materials and rocket propulsion: atomic simulation, generative models, self-driving labs, high-temperature alloys, metal 3D printing, combustion, cooling design, and engine diagnosis and control. Written without equations, with verified sources in every chapter.
AI Library
The Age of Autonomous Scientific Discovery
Kim Kyung-jin, Attorney at Law
AI Scientists and Self-Driving Labs
This book follows how AI scientists and self-driving labs are changing the way science generates and verifies claims. It covers literature-based discovery, natural-language protocols translated into robot commands, multi-agent research systems, closed-loop laboratories, materials search, the verification gap, chains of evidence, research harnesses, journal ethics, and legal responsibility.
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A New Era of Life Sciences Opened by Artificial Intelligence
Structural Proteomics, Genomic Foundation Models, Autonomous Laboratories, and Global Governance
Kim Kyung-jin, Attorney at Law
This book is a research volume compiled with artificial intelligence. A human selected the materials and structured the work, while AI models drafted the sentences and cross-checked the facts.
AI Library
The Double Structure of Digital Sovereignty
Europe’s Departure from Palantir and the Chains of American Big Tech
Kim Kyung-jin, Attorney at Law
This is a record of 2026, when European intelligence agencies and defense ministries began removing analytics tools from America’s Palantir. It covers the replacement decisions made by France’s General Directorate for Internal Security (DGSI), Germany’s Federal Office for the Protection of the Constitution (BfV), and the Netherlands Ministry of Defense; the incident in which US export controls severed an ally’s ac…
New English Edition
Artificial Intelligence in Horticulture
Kim Kyung-jin, Attorney at Law
Across five chapters and ten sections, this book examines computer vision for crop diagnosis, harvesting robots and autonomous field systems, smart greenhouses and digital twins, precision irrigation and supply-chain quality control, high-throughput phenotyping, and predictive breeding.
New English Edition
Artificial Intelligence in Food Crop Agriculture
Kim Kyung-jin, Attorney at Law
Across six chapters and eighteen sections, the book examines digital agricultural infrastructure, remote sensing, crop diagnosis, yield forecasting, precision irrigation, genomics, molecular breeding, agricultural robotics, climate-smart agriculture, and global food security.
New English Edition
The Future of Forestry and Agroforestry
Kim Kyung-jin, Attorney at Law
Driven by Artificial Intelligence and Digital Innovation
Across five chapters and fifteen sections, the book follows satellites, drones, LiDAR, digital twins, forest-specific language models, wildfire and pest forecasting, forestry robotics, agroforestry, timber traceability, and forest carbon markets.
New English Edition
Smart Livestock Farming: AI Enters the Barn
Kim Kyung-jin, Attorney at Law
Sensors listen, cameras watch, and artificial intelligence helps farmers decide.
Across five chapters and fifteen sections, the book follows precision livestock farming from animal health and reproduction to robotic milking, virtual fencing, digital twins, methane reduction, welfare, and data ownership.
Table of Contents
Han Dong-hoon, Busan Buk-gu Gap: A Record of the 100 Days Before and After the Election (Mar. 26-Jul. 3, 2026)
Kim Kyung-jin
Table of Contents and 13 sections
From March 26 to July 3, 2026, this record follows the spring after expulsion, the Busan Buk-gu Gap by-election, victory as an independent, and the first bill submitted in the National Assembly.

Table of Contents
Artificial Intelligence and Medicine
Kim Kyung-jin, Attorney at Law
AI in clinical care, hospitals, education, and research
AI in medical imaging, risk prediction, treatment planning, hospital operations, education, and research, with patient safety, privacy, and accountability.
[AI Library] The Paradigm Shift in AI Drug Discovery and the Future Convergence Ecosystem - Table of Contents

The Paradigm Shift in AI Drug Discovery and the Future Convergence Ecosystem
From data-driven target discovery to self-driving laboratories
Kim Kyung-jin
The Paradigm Shift in AI Drug Discovery and the Future Convergence Ecosystem
Artificial intelligence is already designing medicines. Finding the protein behind a disease, drawing the molecule, screening out toxicity before anyone swallows a pill, replacing animal testing with organ chips, running a trial on a virtual patient first, and settling who is liable when something goes wrong. Fifteen sections across five parts follow that whole chain. You do not need a background in biology or chemistry; every difficult term is explained in plain words the moment it appears.
How to read
Read straight through, or pick the sections you need from the table of contents. Each section stands on its own.
PART 1 The Dawn of AI Drug Discovery and the Paradigm Shift
1.1 R&D Paradigm Shift: Overcoming the Valley of Death
1.2 Artificial Intelligence for Life Sciences: Foundation Models
1.3 Multi-omics Integration and Discovery of Novel Biomarkers
PART 2 AI-Driven Drug Design and Molecule Discovery
2.1 3D Protein Structure Prediction and Structure-Based Drug Design (SBDD)
2.2 Deep Learning-Based Drug Candidate Generation (De Novo Design)
2.3 In Silico ADMET and Toxicity Prediction System
PART 3 Next-Generation Modalities and Smart Drug Delivery
3.1 Biopharmaceuticals and Multi-Target Therapeutics Design (ADC)
3.2 AI Decoding of Natural Product Drug Databases and Hybrid Discovery
3.3 Nanomedicine and Smart Targeted Drug Delivery Systems
PART 4 Preclinical and Clinical Validation and the Precision Medicine Revolution
4.1 Preclinical Innovation: Replacing Animal Testing and Modeling Biology
4.2 Digital Twins and the Modernization of Next-Generation Clinical Trials
4.3 Precision Oncology and Personalized Treatment
PART 5 Regulatory Science, Data Ethics, and the Future Convergence Ecosystem
5.1 Regulatory Frameworks and Quality Governance for AI Drug Discovery
5.2 Data Ethics, Algorithmic Fairness, and the Federated Learning Ecosystem
5.3 The Future of the Pharmaceutical Industry: Self-Driving Labs
















