Accelerating Pace of Scientific Discovery and Innovation through Big Data Enabled Artificial Intelligence and Deep Learning

Abstract

The pace of scientific discovery and innovation has accelerated dramatically in recent years, fueled by the availability of vast amounts of data and advances in computational capabilities, especially in artificial intelligence (AI) and deep learning. This paper reviews the transformative impact that big data and AI are having across diverse scientific disciplines and technology sectors. It outlines key innovations in data-intensive methods and AI algorithms that are powering new discoveries. Challenges and opportunities associated with applying big data analytics and AI to accelerate science are discussed. Recommendations are provided for research directions and policies to maximize the benefits of these technologies while mitigating risks. Three tables are included highlighting major milestones, key techniques, and applications in this rapidly evolving landscape.