Acquiring Big Mechanisms by Reading Primary Literature - 2015

Explore a comprehensive lecture on DARPA's Big Mechanism program, delivered by Paul Cohen from DARPA and the University of Arizona in 2015. Delve into the challenges of understanding complex systems through fragmented scientific approaches and learn about innovative technology being developed to address this issue. Discover how machines are being trained to read primary literature on Ras-driven cancers, extract biological information, and construct large-scale causal models. Gain insights into the progress of this groundbreaking initiative, which aims to enable systemic reasoning about interventions in complicated systems. Understand the concept of "push" research and its potential impact on multiple machine-maintained causal theories. This 1-hour 22-minute talk, presented at the Center for Language & Speech Processing (CLSP) at JHU, offers a fascinating look at the intersection of artificial intelligence, cognitive science, and cancer research.