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Machine Learning Can Help Illuminate Bias in Health Care

Machine Learning Can Help Illuminate Bias in Health Care

Christopher Symons, PhD | Dec 23, 2020 | Blogs

There have long been concerns around bias in machine learning (ML) models that interact with or impact people. The recent firing of Timnit Gebru, a prominent AI ethics researcher at Google, has brought even more attention to the important topic of bias in AI. Bias has...
Lirio Research: Introducing A New Form of Machine Learning Optimization

Lirio Research: Introducing A New Form of Machine Learning Optimization

Christopher Symons, PhD and Clayton Webster, PhD | Jul 1, 2020 | Artificial Intelligence, Blogs

Lirio’s AI Research team recently developed a novel adaptive stochastic gradient-free (ASGF) approach for solving some of the most difficult optimization challenges in machine learning. This innovative optimization algorithm, which is simple to implement and does not...
What the BReLL Means for the Future of Behavior Change AI

What the BReLL Means for the Future of Behavior Change AI

Christopher Symons, PhD | Jan 23, 2020 | Blogs

Recently, we were excited to announce the formation of Lirio’s Behavioral Reinforcement Learning Lab (BReLL), and the addition of Dr. John Seely Brown (JSB) as the Lab’s scientific advisor. We view the BReLL as our opportunity to scale the valuable research and...

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