A major challenge in applied AI is out-of-distribution detection, or OOD, which is the task of detecting instances that do not belong to the distribution the classifier has been trained on. OOD data is often referred to as “unseen” data, as the model has not encountered it during training.
Bayan Bruss is the VP of AI Foundations at Capital One and in this role he works with academic researchers to translate the latest research to address fundamental problems in financial services. Bayan joins the show with Sean Falconer to talk about OOD, the importance of bringing AI research to real world applications, and more.
Full Disclosure: This episode is sponsored by Capital One
The post AI Research at Capital One with Bayan Bruss appeared first on Software Engineering Daily.
