PART 1 of AI for Manufacturing and Healthcare:a chemistry and engineering perspective скачать в хорошем качестве

PART 1 of AI for Manufacturing and Healthcare:a chemistry and engineering perspective

Artificial Intelligence (AI) approaches are increasingly applied across domains of Science, Engineering, Chemistry, and Industry to not only improve efficiency and enhance productivity, but also enable new capabilities. The new opportunities range from automated molecular design and screening, property prediction, and insights into 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. AI for Manufacturing and Healthcare:a chemistry and engineering perspective- PREPRINT (Free to download) https://doi.org/10.48550/arXiv.2405.0... Introduction to Polymers - Tutorial https://pslc.ws/macrog/