Decentralized & Collaborative AI on Blockchain [1.0]
We propose a framework for participants to collaboratively build a dataset and use smart contracts to host a continuously updated model.
Provably efficient reinforcement learning with rich observations
Reinforcement learning, a machine learning paradigm for sequential decision making, has stormed into the limelight, receiving tremendous attention from both researchers and practitioners. When combined with deep learning, reinforcement learning (RL) has produced impressive empirical…
Models as Code: Differentiable Programming with Zygote
Scientific computing is increasingly incorporating the advancements in machine learning and the ability to work with large amounts of data. At the same time, machine learning models are becoming increasingly sophisticated and exhibit many features…
Dissecting Racial Bias in an Algorithm that Guides Health Decisions for Millions
For millions of patients across the US, hospitals use commercial risk scores to target those needing extra help with complex health needs. We examine a widely used commercial algorithm for racial bias. Thanks to a…