Intelligent Life Science Research

Engineering notes

Key topics: autonomous driving, control. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

Current research on general artificial intelligence and bionic robots lacks a unified underlying theoretical framework. Existing large models and bionic robots cannot uniformly interpret the underlying mechanisms of intelligent generation, autonomous behavior, self-awareness and evolutionary learning of both biological life and electromechanical artificial life. This paper constructs a complete theoretical system named Intelligent Life Science. It uniformly defines life as machines with self-growth and maintenance capacity and intelligent processing functions, establishes the hardware model of minimal intelligent life, and divides a dual structure of innate fixed hardware and algorithms as well as acquired postnatal skills. Three core laws supporting all intelligent behaviors are proposed, namely Representation Law, Learning Law (Same-Scenario Resonance) and Activation Law, which unify the data structure and operation logic of four basic skills including recognition, thinking, action control and desire emotion. This paper explains that the primitive driving force (desire source) is the sole origin of autonomous behaviors, and decomposes the generation mechanisms of memory, imitation, language, thinking and self-awareness. Two technical routes to realize quasi immortality are put forward, and the manufacturing of intelligent life is demonstrated as the ultimate engineering project of human science. The theory breaks the theoretical barrier between organic biological life and inorganic electromechanical artificial life, and provides a complete engineering implementation paradigm for humanoid autonomous robots, growable artificial life, consciousness migration and full autonomous general intelligent systems.

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