In a breakthrough jump for artificial intelligence, The band Carnegie Mellon University, Pittsburgh, presented “Coscientist” -Laboratory partner AI capable of autonomous planning and performance of real chemistry experiments. An innovative AI system showed its skills by rapid learning and effectively reproducing chemical reactions within a few minutes.
Coscientist achievements extend to complex complex cross connections catalyzed by palladium, recognized with the 2010 Nobel Prize in chemistry. The team, led by a chemist and chemical engineer Gabe Gomesa, emphasizes that this is the first case of inorganic intelligence intelligence autonomously performing such a complicated reactions of human invasion.
Large language models, in particular GPT-4, are the cognitive core of Coscientist. The team conducted meticulous tests, including the use of various software modules and artificial intelligence frames, showing its ability to understand, plan and perform sophisticated laboratory tasks.
Dig. 1: System architecture
Coscientist showed extraordinary chemical reasoning, based on publicly available chemical information in the format of the simplified molecular input system (Smiles). He dynamically adapted his experimental plans based on specific molecular details, the feat described by the researcher of the Danil Boiko team as the personification of chemical reasoning.
In particular, artificial intelligence has shown proficiency in access to technical documents and the use of technical documents, translating theoretical plans into a executable code for robotic laboratory equipment. This functionality positions Coscientist as a versatile tool for translating theoretical research into practical experiments.
During the symbolic end exam, Coscientist was designed to perform Suzuki and Sonogashira reactions, of key importance in pharmaceutical and semiconductor development. Despite the fact that he had never tried these reactions before, Coscientist has successfully sought information from various sources, including Wikipedia and quickly formulated precise procedures.
Particularly noteworthy was the system's ability to improve independently during the physical performance of experiments. He quickly identified the error in the control code for the heating and shocking device, corrected it by referring to the technical handbook and successfully completed the experiments.
Gabe Gomes, amazed by the abilities of Coscientist, recognizes the transformation potential of AI in scientific discovery. However, it emphasizes the importance of responsible use of artificial intelligence, emphasizing the need for aware rules and principles of preventing improper use.
The implications of Coscientist success go beyond chemistry. Gomes provides AI supported systems, such as Coscientist, filling the gap between the enormity of unexplored natural phenomena and a deficiency of trained scientists. It emphasizes the potential of AI to democratize resources, thanks to which scientific exploration is more available in various disciplines.
The emergence of a supported AI-Medicine scientific discovery, the personification of Coscientist, promises to accelerate the iterative process of experimenting and learning. By automating and increasing scientific efforts, AI has the potential to revolutionize the way we research and understand the complexities of the world of nature.
