BeeKeeperAI and cStructure Collaborate to Advance Causal AI for Scientific Advancement and Healthcare Innovation

AI Definitions: Causal AI — Goforth Solutions, LLC

Causal AI – This is where the principles of causal inference is applied to AI so that it uncovers connections between data points and looks for the cause-and-effect relationships to understand why things happen. Instead of predicting an outcome and its value as in predictive interference, causal inference looks at how an outcome changes if a particular factor is manipulated. While predictive AI is ideal for anticipating what a user is most likel…

BeeKeeperAI and cStructure Collaborate to Advance Causal AI for Scientific Advancement and Healthcare Innovation

Joint efforts kick off with DREAM Challenge that allows scientists to compute on NIH’s Covid data in a privacy-enhancing environment and experience an unprecedented level of transparency in generative AI BeeKeeperAI, Inc., a pioneer in privacy-enhancing, multi-party collaboration software for AI development and deployment, and cStructure, a leading innovator in collaborative causal inference, today announced a collaboration for advancing causal …