Applied AI/ML Research at PayPal with Vidyut Naware - #593
Published:Sep 26, 2022 20:02
•1 min read
•Practical AI
Analysis
This article from Practical AI provides a concise overview of the AI/ML research and development happening at PayPal, led by Vidyut Naware. It highlights the breadth of their work, spanning hardware, data, responsible AI, and tools. The discussion of specific techniques like federated learning, delayed supervision, quantum computing, causal inference, graph machine learning, and collusion detection showcases PayPal's commitment to cutting-edge research and practical applications in areas like fraud prevention and anomaly detection. The article serves as a good introduction to PayPal's AI initiatives.
Key Takeaways
- •PayPal is actively involved in applied AI/ML research across various domains.
- •They are utilizing advanced techniques like federated learning and causal inference.
- •The research focuses on practical applications such as fraud prevention and anomaly detection.
Reference
“We explore the work being done in four major categories, hardware/compute, data, applied responsible AI, and tools, frameworks, and platforms.”