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 20. Shield AI's X-BAT: A Runway-Free Game Changer in Air Combat
Chapter 20. Shield AI's X-BAT: A Runway-Free Game Changer in Air Combat
Shield AI's X-BAT: A game changer in air combat without a runway What is a runway to a fighter pilot? It's a lifeline. At the same time, it is also a tomb. Because the enemy knows that. When a war begins, the first place to be bombed is the runway. It's long, flat, and shows up clearly in satellite photos. A few ballistic missiles can turn a runway into a honeycomb. If the runway is destroyed, the fighter plane cannot fly. No matter how expensive the F-22 or F-35 is, if it is tied to the ground, it is just scrap metal. Imagine a war scenario with China.
In the early stages of the war, Andersen Base in Guam, Kadena Base in Okinawa, and Osan Base in Korea were bombarded with ballistic missiles. There are huge potholes on every runway. The maintenance facility is on fire. The fuel tank explodes. Fighters that fail to take off are destroyed on the ground. An air force without a runway is not an air force. There is a company that is trying to turn this nightmare around. This is Shield AI. And the weapon they released is the X-BAT. It was October 21, 2025, in Washington D.C. Shield AI unveiled X-BAT at an event attended by military leaders, government officials, and defense industry figures.
Although it was a scale model, its shape was shocking. An aircraft standing on its tail. A stealth jet that takes off vertically and lands vertically. It is a combat drone that does not require a runway. This is a quote from Brandon Cheng, co-founder and president of Shield AI. “At SHIELD AI, we believe that the greatest victory is no war. To make that belief a reality, we are executing a simple yet ambitious master plan: to prove the value of autonomy, expand across domains, and redefine air power. X-BAT is the next step in that plan. Runway-less air power is the holy grail of deterrence.” You must first get to know Brandon Cheng.
I am a former Navy SEAL. This is a warrior who kicked down the door of a dusty building in Afghanistan and wondered, “Why isn’t there a smart robot next to me?” This is a company created by someone who knows the smell of blood on the battlefield. The starting point is different from desk-biting engineers. The shape of the X-BAT is bizarre. ‘Cranked Kite’ shaped wings. It has an overall length of 26 feet (about 8 meters), a wingspan of 39 feet (about 12 meters), and a height of 4.7 feet. It is half the size of the F-35. If you place three of them, they will take up less space than a single existing fighter jet.
How you take off is key. X-BAT stands vertically with its tail on the ground. When the engine catches fire, it soars into the sky like a rocket. Once it reaches a certain altitude, it leans in and switches to level flight. It reminds me of the ancient propeller plane XFY-1 Pogo. This is a method that the U.S. Navy experimented with and abandoned in the 1950s. Human pilots could not land looking backwards. But it doesn't matter to AI. There is no concept of top or bottom. There is only sensor data and vector calculations. The landing is even more impressive. When homing, the X-BAT raises its nose in a movement similar to a cobra maneuver.
And it comes down from the tail. If you are lighter by consuming fuel and dropping weapons, you can land without afterburner. A recovery mechanism mounted on the trailer catches the aircraft and stops it. The complex guidance algorithm is an extension of proven technology from a small drone called the V-BAT. The engine is GE Aerospace's F110-GE-129. This is the same engine used in the F-15 and F-16. On November 5, 2025, GE Aerospace and Shield AI announced a partnership. This engine is equipped with AVEN (Axisymmetric Vectoring Exhaust Nozzle), an axisymmetric vector exhaust nozzle.
This is a thrust vectoring technology developed in the F-15 ACTIVE program in the late 1990s. The nozzle moves along three axes and changes the direction of thrust. It is the key to enabling both vertical takeoff and landing and high-mobility flight. This is an explanation from Armor Harris, Senior Vice President of Shield AI Aircraft Division. "The It enables projection and simplifies the kill chain.” Range of over 2,000 nautical miles. This is much longer than the F-22's 590 nautical miles and the F-35A's 670 nautical miles. Maximum altitude of 50,000 feet. 4G operation possible.
Combining these numbers means that the X-BAT can keep pace with manned fighters. Slower drones fall behind in formation. Only fast drones can fight in the same rhythm. The brain of X-BAT is the Hivemind. This is the AI pilot software that Shield AI is proud of. We have already completed practical testing on a small drone called V-BAT. Since June 2024, more than 130 sorties have been flown in Ukraine. A Russian SA-11 Buk-M1 mobile air defense system was located in an environment rife with GPS jamming, and Ukrainian forces destroyed it with Heimas precision rockets.
Hivemind's true value is revealed in the absence of GPS. In modern warfare, enemies block GPS signals with powerful electronic warfare attacks. Most drones get lost when their GPS is lost. It either spins in place, returns to its programmed homing point, or simply falls. However, the aircraft equipped with the Hive Mind is different. Read the terrain with cameras and sensors. It's like a human pilot looking at a map and deciding, "There's a river there, there's a mountain here, so I'm here now." Even if communication is lost, operations continue. It also has armed capabilities. There are two internal weapon bays.
In the released video, you can see it equipped with the AIM-120 AMRAAM missile and the Navy's new AIM-174B Gunslinger ultra-long-range air-to-air missile. You can also attach larger armaments to external hardpoints. Reconnaissance, electronic warfare, air-to-air, air-to-ground. It is a platform that can fulfill a variety of roles. The price is estimated at around $27 million per unit. It's a quarter of the size of the F-35. Of course, it is difficult to directly compare it to a full-fledged 5th generation fighter, but if deployed in large quantities, it can secure an economic advantage. Let's take a look at the schedule.
Vertical takeoff and landing testing is scheduled for fall 2026. Full flight testing and operational validation are planned for 2028. ShieldAI said it will announce additional production partners and engine supply partners in the coming weeks. Let us summarize the strategic meaning of X-BAT. Existing fighter jets are tied to runways. If the enemy destroys the runway, it's over. However, the X-BAT launches from the trailer. You can fly anywhere: a clearing in the forest, a remote island, or the rocking deck of a ship. The enemy can no longer think, 'I only need to hit three air bases.' Potential launch sites expand into the thousands.
The Royal Navy has already expressed interest. In October 2025, the Navy issued a Request for Information (RFI) for 'Project VANQUISH'. This is a technology demonstration project for autonomous drones capable of sea-based takeoff and landing. It is scheduled to be completed by the end of 2026. Of course, there are challenges. Vertical takeoff and landing are structurally complex. A hell of heat, noise and maintenance follows. The vertical thrust design takes up space inside the airframe. A compromise is needed between payload, range, and stealth geometry.
As runway-less operations become possible, safety, maintenance quality, and ammunition handling on the ground become more challenging. This is because aerodrome-level procedures must be implemented outside of the aerodrome.
However, Shield AI believes that the risk can be offset by ‘distributed survivability’. Power concentrated in one place is destroyed in one blow. Scattered power does not collapse easily. If dozens of X-BATs are distributed across multiple locations, it will be nearly impossible for the enemy to destroy them all. I am a pilot who stepped out of the F-16 cockpit. We know the importance of runways to our core. When the runway closes, sorties stop. Once the sorties stop, air superiority belongs to someone else. So we shed blood to protect the runway.
However, when a concept like X-BAT becomes a reality, the concept of a ‘runway to protect’ itself becomes blurred. Even if the enemy rains down missiles, we are already hovering somewhere else and landing somewhere else. General Atomics and Anduril were selected for the first phase of the U.S. Air Force's Coordinated Combat Aircraft (CCA) program. X-BAT couldn't fit in there. But there is step 2. Shield AI said it is already in discussions with customers. It's not just the Air Force. The Army and Navy are also showing interest. Allies such as Australia, the Netherlands and the UK are also taking note. I'll organize it.
The YFQ-42A and YFQ-44A are the first step toward elevating unmanned fighter aircraft to the center of power. X-BAT is an attempt to get the Air Force off the runway. For one, it changes how the squadron is structured. The other changes the way it unfolds. The conclusion is the same. War in the sky is no longer just a pilot's arm strength. It is a battle of networks, autonomy, and deployment capabilities. The X-BAT hasn't flown yet. The one released in October 2025 was a scale model. But that concept alone makes us redraw the map of the battlefield. Imagine the X-BAT rising vertically from the ashes on a day when the runway is on fire.
It is a nightmare for the enemy, but a hope for us. Where there is a runway, there is no need for a runway. That is the future that Shield AI dreams of.
Part 5. The Global Race to Develop AI Fighters When looking at the dark blue sky beyond the canopy at an altitude of 30,000 feet, the pilot feels lonely. At that moment, when your breath heats up inside the oxygen mask and the helmet presses down on your shoulders, you can only trust your own eyes and trained instincts. For decades, fighter pilots have fought this lonely fight alone. But now a new presence is entering that solitude. A colleague who is neither tired nor fearful, made of silicon and algorithms rather than flesh and blood. The skies around the world have now become a silent battlefield. This competition between the United States, China, and Europe is not just a technology battle. It is a life-and-death gamble to determine who will dominate the air superiority of the next century and who will become the ruler of the skies. Just as the longbow ended the era of the spear and shield, and the machine gun relegated the cavalry charge to history, artificial intelligence is now rewriting the very grammar of aerial combat. This is not a story from the distant future. This is the reality that is happening above our heads right now.
Kim Kyung-jin
Attorney · Former Member of the National Assembly · AI Policy Researcher
© 2026 Kim Kyung-jin. All rights reserved.