  Artificial Intelligence (AI) approaches are increasingly being applied to
more and more domains of Science, Engineering, Chemistry, and Industries to not
only improve efficiencies and enhance productivity, but also enable new
capabilities. The new opportunities range from automated molecule design and
screening, properties prediction, gaining insights of chemical reactions, to
computer-aided design, predictive maintenance of systems, robotics, and
autonomous vehicles. This review focuses on the new applications of AI in
manufacturing and healthcare. For the Manufacturing Industries, we focus on AI
and algorithms for (1) Battery, (2) Flow Chemistry, (3) Additive Manufacturing,
(4) Sensors, and (5) Machine Vision. For Healthcare applications, we focus on:
(1) Medical Vision (2) Diagnosis, (3) Protein Design, and (4) Drug Discovery.
In the end, related topics are discussed, including physics integrated machine
learning, model explainability, security, and governance during model
deployment.
