Image source: ChatGPT, a fun science website in the United States, has been popular around the world since its debut. With its powerful information integration and dialogue capabilities, it has amazed the entire world. With the continuous change of technology, the latest version of ChatGPT has various powerful functions such as writing papers, code, software, and conducting research assistance analysis. From synthesizing information faster to developing new drugs within hours, Fun Science Network in the United States has listed several ways in which artificial intelligence (AI) can reshape scientific research in a recent report. Faster and better interpretation of information AI can identify data patterns and associations that humans may overlook. In fact, AI has been able to propose hypotheses that human scientists did not anticipate. For example, the AI Research assistant developed by SciSpace can help researchers read and understand papers more quickly and become a "magic tool" for paper reading. IBM's geospatial map AI system can analyze a large number of satellite images and detect and predict environmental changes, such as deforestation or drought, with unparalleled accuracy. SciSpace pointed out that this is just the beginning. People will soon use AI to answer previously unanswerable questions, such as how life first evolved; What are the true properties of chaos; And how the surrounding environment affects human genes. AI's unparalleled ability to analyze large amounts of data, discover patterns, and establish connections is crucial for revealing the answers to these profound questions. Accelerating Drug development AI is changing the game rules of Drug development to make it faster and more efficient. On March 29th of this year, AI once again demonstrated its strong application prospects in the field of scientific research to the world. The team led by Zhang Feng from the Howard Hughes Medical Research Institute and the Massachusetts Institute of Technology's Bode Institute, using the AI tool Alpha Fold from Deep Thinking, designed and developed a molecular injector that can directly inject proteins into human cells. The latest syringe provides new ideas for further development of in vivo protein delivery technology, and is expected to provide effective technical support for gene therapy, cancer treatment and Biological pest control. Previously, this process typically took several years to complete, but with the help of the AI system, the Zhang Feng team completed it in only 46 days. In addition, alpha folding can accurately predict the shape of almost all known proteins, which is a key step in drug development. Another major breakthrough occurred in January of this year. Drug discovery company Absci used zero sample generation AI and demonstrated the method of creating antibodies from scratch through computer simulation. The ab initio antibody design driven by AI has shortened the development time from up to 6 years to 18-24 months. In addition, AI can analyze a large number of datasets to predict promising drug targets and candidate drugs, making the drug discovery process faster and more intelligent. By using generative AI, biotechnology companies can identify patient response markers and quickly develop personalized treatment plans. Anytime, anywhere research, virtual reality technology, combined with AI, enables scientists to conduct experiments in virtual reality, manipulate digital models of molecules or materials, and monitor results in real-time. But it can change the research direction