In the field of drug research and development, there is a well-known "double ten law", that is, it takes more than 10 years to develop an original new drug and costs $1 billion, with a return on innovation of only about 1%. Digital technology is expected to break this "law". Shenzhen Jingtai Technology Co., Ltd. integrates cutting-edge technologies such as AI, quantum physics, intelligent manufacturing, and robotics, and pioneered a new drug research and development model of "intelligent computing+automated experiments+expert experience". It has revolutionized key links in new drug research and development, helping pharmaceutical companies break through industry barriers. Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone. In the automation laboratory of Jingtai Technology, the robot arm runs continuously, and the robot car shuttles between more than 100 automatic chemical stations. This "light off laboratory" has significantly improved the efficiency and success rate of drug research and development, reduced research and development costs, and erected a "ladder" for many pharmaceutical companies around the world to harvest high fruits. It has successfully provided drug research and development services to more than 200 leading pharmaceutical companies and research institutions in the United States, Europe, Asia, and other regions, accelerating the development and marketing of hundreds of drugs, enabling global innovation in the source of new drugs. AI empowering drug research and development to shorten the cycle of new drug research and development is an experimental science. Scientific researchers select one molecule from countless molecules that can solve a certain disease, as if looking for a needle in a haystack. Traditional drug research and development is mainly based on experimental trial and error exploration, with low efficiency, high cost, great uncertainty, and high failure rate. From simple aspirin to increasingly complex compound molecules in recent years, industry insiders describe the development of new drugs as "low hanging fruits are all picked up, and picking high hanging fruits becomes increasingly difficult.". In addition to soaring pharmaceutical costs and severe homogenization competition, "Anti Moore's Law" has become an insurmountable mountain in front of pharmaceutical companies. Data shows that despite decades of increasing investment by pharmaceutical companies, the number of new drugs on the market that invest $1 billion has halved every nine years. What to do with long research and development cycles, high costs, and low success rates? Pharmaceutical companies and research and development institutions around the world are all thinking. In 2015, the founders of Jingtai Technology took advantage of Shenzhen's industrial and talent advantages and settled down on the Shenzhen River. They focused on the key steps and difficult issues in drug research that can improve research efficiency through a large number of computational simulations, and gradually built a one-stop AI drug discovery platform from target discovery to preclinical research. Using technologies such as quantum physics, artificial intelligence, cloud based supercomputing, and robotic experiments, Jingtai Technology has taken the lead in establishing a trinity of "intelligent computing+robotic automation experiments+expert experience" globally, matching the "super brain" of AI algorithms with large-scale robot "super hands", saving up to 90% of experimental needs, thereby achieving source innovation through close integration of prediction and experiments, Challenging drug research and development bottlenecks and low success rates. "AI can accelerate key steps in drug research and development, such as target discovery, compound design and generation, clinical trial design, and result prediction, thereby shortening the research and development cycle, reducing research and development costs, and improving the success rate." Zhang Peiyu, Chief Scientific Officer of Jingtai Technology, described AI as erecting a fruit tree towering into the cloud for drug research and development“