Christopher Symons, Ph.D. and Clayton Webster, Ph.D. | Jul 1, 2020 | Artificial Intelligence, Blog, Digital Health
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...
Christopher Symons, Ph.D. | Jan 23, 2020 | Behavioral Science, Blog
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...
