Assistant Clinical Professor UCLA David Geffen School of Medicine Los Angeles, California, United States
Session Description: Unlock the world of artificial intelligence (AI) for non-computational scientists in this foundational session. Discover how AI can leverage machine learning to transform data. Delve into AI's architecture, demystifying its tools and structure while exploring its role in crafting sophisticated chatbots. Learn about deep learning's potential for natural language processing and its applications across diverse fields. Unveil the practical applications of chatbots and the implications for using chatbots and AI tools in the area of molecular pathology. Join us to build your AI knowledge and harness its transformative potential across domains.
If this session topic is of interest to you, please consider looking at the following course on AMP EDucation (AMPED™ Online)
Title: Artificial Intelligence and Molecular Pathology: An Introduction to Principles, Techniques and Applications Click here to learn more.
Learning Objectives:
Upon completion, participants will be able to understand how artificial intelligence utilizes machine learning to transform data and its implications for non-computational scientists.
Upon completion, participants will be able to dissect the architecture of AI, deciphering its tools and structure, and comprehend its role in the development of advanced chatbots.
Upon completion, participants will be able to recognize the potential of deep learning in natural language processing, explore its versatile applications, and grasp the practical use cases and limitations of chatbots.
.jpg "Thomas Lee, MD, PhD photo")