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.
AI Library
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] Chapter 12. Transferring Simulation Experience into Reality
Chapter 12. Transferring Simulation Experience into Reality
Transplanting the simulation experience into reality What would happen if the AI that was winning the virtual battle on the monitor screen was placed in the cockpit of a real F-16? Will we be able to rule the sky right away? The answer is "no". The Sky in the Simulation is mathematically perfect. The wind blows as calculated, the air density is uniform, and the engine is always 100 percent efficient. The sensor sends clear data without noise, and there is no delay in communication. But the reality is completely different. Gusty winds blow, clouds obscure the sensors, communication signals are cut off, and the aircraft vibrates inexplicably.
An AI that boasts a 100 percent win rate in simulation may crash on its first flight in real life. This gap is called the “Reality Gap.” It is a gap between the virtual world and the real world. The technology that bridges this gap is Sim2Real, or “Simulation to Reality.” This is a key challenge in the development of AI fighter jets, and only when this is solved can AI truly fight in the sky. Sim2Real's first strategy is to deliberately mess up the simulation environment.
It's a technique called "Domain Randomization." During training, the wind strength is randomly varied, the aircraft's center of gravity is slightly shaken, and the engine thrust is varied between 80 and 120 percent. Noise is intentionally mixed into sensor data and delay is added to communication. Rather than just training in sunny weather, we inject the simulation into stormy conditions, sensor failures, and engine loss. AI trained in this “messy” environment will perceive the real world as “just another noisy simulation.” AI trained only in clean environments is embarrassed in real life.
However, AI trained in all kinds of chaos does not waver even in the face of uncertainty in reality. The second strategy is to continuously feed real-world data into the simulation. This is called a “Digital Twin”. We collect real-time flight data from real fighter jets and update the virtual fighter model. The simulation model is constantly modified based on aerodynamic data, engine response speed, and aircraft vibration patterns obtained from actual flight tests. Then the virtual world becomes closer and closer to reality. And then we train the AI again in that sophisticated virtual world.
As this cycle repeats, AI becomes stronger in reality.
The U.S. Air Force is operating an experimental aircraft called the X-62A VISTA to verify this Sim2Real technology. This aircraft, a modified version of the F-16D, is designed so that AI can actually fly the aircraft. AI-controlled flight tests began over Edwards Air Force Base in December 2022. In the first 12 flights, the AI performed both close-quarters combat (dogfight) within cannon fire range and beyond visual range (BVR) scenarios. During more than 17 hours of autonomous flight, the aircraft optimized its performance while complying with real-world airspace restrictions. A historic moment has arrived in 2023.
The X-62A VISTA engaged in an actual air battle with a manned F-16 under AI control. This was the world's first "human vs. AI" real-life dogfight. In May 2024, U.S. Air Force Secretary Frank Kendall personally climbed into the cockpit of the X-62A. The top commander of the U.S. Air Force entrusted himself to a fighter jet piloted by AI. He said this after the flight: “I think we can leave the authority to fire weapons to AI.” Of course, safety measures are thoroughly in place. A “Runtime Assurance” system monitors all AI actions in real time.
When the AI gives the command, “Turn right to 5G,” the system checks that command every millisecond. If the AI's commands exceed the structural limits of the aircraft or lead to a trajectory that poses a risk of hitting the ground, the system immediately blocks AI's control and restores the aircraft to a safe state. The safety pilot in the back seat can also turn off AI and switch to manual control at any time. In fact, in all of the X-62A's test flights, not once did the safety pilot force the AI to turn off. Another challenge is computing power. The AI in the simulation can freely use the supercomputer resources of a huge server room.
However, space inside a real fighter jet is limited and power is limited. You can't have thousands of GPUs. Therefore, there is a need to lighten huge AI models so that they can fit into small chips. Heron Systems' Alpha Dogfight winning model was designed to be efficient enough to run on a single small Nvidia chip. This has big implications. Powerful yet lightweight AI is a prerequisite for actual deployment. Future AI fighters will know basic combat skills before sortie, but will evolve on the spot by understanding enemy patterns as they fight. This is called “Meta-Learning” or “Online Adaptation”.
Rather than using the model learned at the factory, the state of the aircraft in flight
It's about detecting changes or changes in enemy tactics in real time and fine-tuning your neural network. Sim2Real is not just a process of installing software. This is the process where virtual intelligence takes on a physical body and learns the laws of reality. In robotics, this is called “embodiment.” For AI to become a true warrior, it must leave the pristine skies of simulation and descend into the harsh skies of reality.
Kim Kyung-jin
Attorney · Former Member of the National Assembly · AI Policy Researcher
© 2026 Kim Kyung-jin. All rights reserved.