Greater Public Use

Research on greater public use of AI focuses on leveraging its capabilities across diverse scientific and practical domains, aiming to improve efficiency, accuracy, and accessibility. Current efforts concentrate on applying large language models (LLMs) and other deep learning architectures to tasks such as systematic literature reviews, image analysis, and hyperparameter optimization in various fields, including medicine, manufacturing, and software engineering. This work highlights the potential of AI to automate complex processes, enhance decision-making, and address challenges in data analysis and resource management, ultimately impacting the speed and quality of scientific discovery and real-world applications.