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.
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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] 37 Concrete Codex Use Cases - Chapter 17. Fully Automated Video Editing and Branding Asset Injection: Automated Vi
Chapter 17. Fully Automated Video Editing and Branding Asset Injection: Automated Video Editing from Start to Finish
For beginners: what if a coding agent edits video? "AI that helps with coding can edit video?" Beginners may find this odd. But video editing is also a workflow that can be controlled through code. If you hand off a 1-hour webinar, Zoom meeting, or interview video to an editor so it becomes five 1-minute core clips for TikTok or YouTube Shorts with captions and an outro logo video, it usually takes tens of thousands of won per piece and several days of time. But if you give the agent permission to use FFmpeg or assign it as a Skill, it can read the transcript, decide that this section is the most engaging, and then cut the footage cleanly based on exact timestamps.
Use case in practice: extracting 5 LinkedIn Shorts from a 1-hour live workshop
1. Prepare the environment. Create a Video_Highlights folder. Put the original workshop files (workshop_speaker_view.mp4 and workshop_screenshare_view.mp4) and the transcript text file (transcript.txt) inside. Also add the branded outro video to append at the end: 9x_outro.mp4.
2. Give instructions to the agent (example prompt). Direct it with the level of detail a director would use to control scene transitions.
Example prompt input: "Build me a video editing pipeline that analyzes the workshop recording and full transcript in the current folder."
"Highlight extraction: Read the entire transcript and find five 1-minute highlight segments that contain core topics or punchlines likely to keep viewers interested."
"Automatic video cuts: Identify start and end timestamps for the five selected segments and trim the source footage accordingly by writing and running an FFmpeg script."
"Dynamic cutting: When the presenter reads from on-screen text, show screenshare_view.mp4, and when they give general explanations, switch to speaker_view.mp4, using cross-cut editing."
"Branding asset blending: After each of the five clips ends, append the 9x_outro.mp4 branded outro from the folder so it flows naturally. Finally, create a Social_Clips folder and save five finished MP4 files."
AI process and results: The AI writes its own video-processing script and completes the job in about five minutes. When you open the folder, you find five perfectly cut MP4 files. When you play them, the impact line appears when the presenter says, "This skill is only basic text!" and the speaker view is shown at that moment, then the company logo appears cleanly at the end. What used to take 1 to 2 hours of manual clip editing each week now finishes in about 5 minutes.