AI for Science

AI for science refers to the application of artificial intelligence technologies to drive breakthroughs and innovations in various scientific fields, such as biology, chemistry, and physics. By leveraging AI's capabilities in data analysis, pattern recognition, and predictive modeling, researchers and scientists can accelerate discovery, optimize experiments, and gain new insights, making AI for science a highly relevant and promising area for startups and tech companies looking to make a meaningful impact in the scientific community.