Machine Learning and AI at Capital One
Featured Machine Learning Articles and Applied Research Programs
Applied AI and machine learning
Graph ML
Using ML on nodes and edges of financial networks to more accurately identify fraud
NLP
Teaching intelligent assistants to understand and generate natural language
Explainable AI
Creating transparency and ensuring fairness through explaining ML models
Anomaly Detection
Identifying changes in data to protect customers and adapt to fluctuating environments
Data and Privacy
Developing models and techniques for protecting sensitive customer data
ML at Scale
Building systems to scale the entire model building and deployment process
"Machine learning is already enabling us to reduce friction and provide a topnotch experience for customers. When it comes to navigating and transacting in the online world, it will be important to continue finding ways to make it effortless while also helping people stay more secure and confident."
Working with leading universities to advance AI
A global graph transformer for node classification
Our engineers demonstrate a new solution for node classification: Global graph transformers, which can be used for both homophilious and heterophilious graphs.
An automatic framework to explain features of image representations
Our engineers helped develop an interpretability framework to explain features of image representations and how extracted concepts can observe and debug failures in downstream tasks.
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Help us use technology to change banking for good.