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 17. Skyborg and Valkyrie: Low-Cost Attritable Unmanned Aircraft
Chapter 17. Skyborg and Valkyrie: Low-Cost Attritable Unmanned Aircraft
Skyborg and Valkyrie: Low-Cost Expendable Drones Let’s be honest. Our fighter pilots are expensive. It's not a joke. The F-16 Viper I drove was expensive, but the F-22 Raptor and F-35 Lightning II that dominate the skies today are truly golden-plated machines. A single F-35 costs between $80 million and $100 million. Considering the value of the sensors, stealth coatings, engines, and pilots that go into it, the loss of one fighter jet is a national disaster. Even our enemies know this. So they will fire hundreds of cheap missiles to take out one expensive fighter jet.
The enemy will be smiling while we shoot down hundreds of dollars worth of drones with tens of millions of dollars worth of missiles. This asymmetric cost exchange ratio is not sustainable. This was the problem that plagued the U.S. Air Force. “We are fighting with weapons that are too expensive.” The concept that emerged here is Low-Cost Attritable Aircraft. Simply put, the idea is to create “an airplane that won’t hurt your stomach even if you lose it.” And at the center of this revolution is the Skyborg program and the XQ-58A Valkyrie. First, we need to clear up any misunderstandings. Skyborg is not the name of a specific airplane.
It refers to the AI system developed by the U.S. Air Force, namely the Autonomy Core System. It is the same as the operating system of a smartphone. This AI brain is designed to autonomously fly whatever aircraft it is mounted on. Whether it's Kratos' drone, General Atomics' drone, or even a modified F-16 drone, planting this AI will allow it to fly on its own. The core of Skyborg is its open architecture. In the past, when building an airplane, software and hardware were one body. To upgrade, the plane had to be overhauled. But Sky Borg is different.
Just like installing a new app on your smartphone, new tactics or features can be added simply by updating the software. This means that the enemy missile evasion maneuvers learned today can be deployed to every drone in the world tomorrow morning. The perfect body to contain this Skyborg AI is Kratos' XQ-58A Valkyrie. Valkyrie. She is a demigod female warrior who appears in Norse mythology. The name comes from Valkyria, meaning one who chooses who will die in war. When I first saw this drone, I thought it looked like a sci-fi movie prop.
I thought it was. V-shaped tail wings with a sleek stealth shape. But what's really surprising is the way it takes off. The Valkyrie doesn't fly down the runway. It is launched with a rocket booster from a launch pad mounted on the back of a truck. When to land? Open the parachute and use the airbag to land. Do you know what this means? This means that even if the enemy destroys the runways of our air bases with ballistic missiles, the Valkyrie can be launched from the woods, highways, or behind container boxes at any time. The Achilles heel of the runway has been removed. A further evolution was revealed in April 2025.
Kratos announced a CTOL (Conventional Takeoff and Landing) version with fixed landing gear. This version can take off and land on regular runways and can still be launched with rocket boosters. This maximizes operational flexibility. On January 8, 2026, the U.S. Marine Corps announced that it had selected Northrop Grumman and Kratos to develop the Valkyrie as the first operational CCA. This is the moment when it transitions from an experimental prototype to an actual weapon. The price is amazing. It costs about $2 million to $4 million per unit. If you produce more than 100 units per year, it can be done for less than $2 million.
You can buy 30 to 40 Valkyries with the money you pay for one F-35. According to Kratos officials, the company has the capacity to produce 250,500 Valkyries per year. This is an overwhelming volume strategy. The Valkyrie's performance doesn't match its cheap price. The maximum speed is Mach 0.86 and the range is over 3,000 nautical miles (about 5,500 km). The maximum altitude is 45,000 feet (about 13,700 m). The internal weapons bay has eight hardpoints that can accommodate JDAM bombs or small-diameter guided bombs (SDBs). The 2021 test successfully launched the ALTIUS-600 small drone from its internal weapons bay.
In 2023, an autonomous flight was performed for 3 hours using AI flight software developed by the U.S. Air Force Research Laboratory. Another milestone was reached in July 2025. F-16C and F-15E pilots each controlled two Valkyries simultaneously and performed a dogfight training scenario. This is a close test of the teamwork between humans and machines. What do these low-cost drones do on the battlefield? They escort manned fighter planes as loyal wingmen. But the method is different from the wingman we know.
First, they are sensor extenders. It goes tens of kilometers ahead of manned fighter jets and goes deep into enemy territory. When their sensors detect an enemy, that information is immediately relayed to the manned aircraft behind them. Manned aircraft can remain silent, aim at enemies, and fire missiles without the need to turn on radar. Second, they are weapons trucks. To maintain stealth performance, the F-35 or F-22 only carries missiles in the internal weapons bay. Payload capacity is limited. But what if unmanned aerial vehicles like Valkyrie follow with additional missiles? The problem of lack of firepower is solved immediately.
Third, they are scapegoats. When an enemy surface-to-air missile flies, it hits the missile instead of a manned fighter. Or, in order to confuse the enemy's air defense network, they may intentionally jump into the middle of the enemy's territory and launch an electronic warfare attack to oxidize the enemy. It's a mission that a human pilot would never be able to do, but for Valkyrie, it's the reason for her existence. In the Russian-Ukrainian war, we saw how low-cost drones trampled expensive tanks. The same thing will happen in heaven. The enemy will find himself in a dilemma.
Are you going to shoot down that cheap drone with an expensive anti-aircraft missile? Or will you ignore it and then be attacked? No matter what choice we make, the result will be our victory. Europe is also joining this trend. In 2025, Airbus will partner with Kratos to develop a version of the Valkyrie for the German Air Force. The goal is to electrify by 2029. The plan is to secure a stealth unmanned attack aircraft with a range of over 1,000 km.
Kim Kyung-jin
Attorney · Former Member of the National Assembly · AI Policy Researcher
© 2026 Kim Kyung-jin. All rights reserved.