Senior Principal AI Scientist Genentech South San Francisco, California, United States
This talk will introduce participants to the foundational concepts of Artificial Intelligence, focusing on its definitions and fundamental components. Key topics will include an overview of AI, machine learning, and deep learning, as well as distinctions between supervised, unsupervised, and reinforcement learning paradigms. The speaker will also delve into the critical importance of data in AI applications, covering data types, structures, and the essential steps of data quality assessment, preprocessing, and curation specific to toxicology. This foundational knowledge will set the stage for understanding AI’s potential and applications in toxicological contexts.
