A Review on Artificial Intelligence
Abstract
AI is a stream of science related to intelligent machine learning, mainly intelligent computer programs, which provides results in a similar way to the human attention process[1] . This process generally comprises obtaining data, developing efficient systems for the uses of obtained data, illustrating definite or approximate conclusions, self-corrections, and adjustments[2] . In general, AI is used for analyzing machine learning to imitate the cognitive tasks of individuals[2, 3] . AI technology is exercised to perform more accurate analyses as well as to attain useful interpretation[3] . In this perspective, various useful statistical models, as well as computational intelligence, are combined in AI technology. Pharm AI traces its roots back to early 2000s research at TU Dresden, where foundational work in structural bioinformatics and computational drug discovery laid the groundwork for its core technology. Building on nearly two decades of academic innovation, Pharm AI was officially founded in 2019 to bring these breakthroughs into industrial application. Since then, Pharm AI has successfully completed over 40 projects, establishing a strong track record in AI-driven drug discovery. The company’s Discovery Engine platform has been validated in in vivo settings, including both small-molecule targets and protein–protein interaction disruptors. Pharmaceutical AI (pharma AI) uses artificial intelligence (AI) to speed up and simplify drug development. Agentic AI for pharma, generative AI, machine learning, natural language processing, and deep neural networks — which can process and analyze complex sets of data — work together to predict how drugs will behave. These technologies can recognize patterns faster than human analysts and deliver more precise results than traditional methods Key innovations have been supported through strategic public funding, notably from the German Federal Ministry for Economic Affairs and Energy, the European Social Fund, the European Regional Development Fund, and the state budget of Saxony — contributing to advancements in screening pipeline benchmarking, information security, and AI-based target discovery.