Christopher Symons, Ph.D. | Sep 3, 2021 | Artificial Intelligence, Behavioral Science, Blog
Lirio’s Behavioral Reinforcement Learning Lab (BReLL) recently published a paper describing a new approach, the Limited Data Estimator, for comparing reinforcement learning policies using limited historical data.
Patrick Hunt | Dec 10, 2020 | Artificial Intelligence, News
Lirio is both proud and honored to have been named Best AI Startup at the 2020 AIconics Awards ceremony at the AI Summit New York. Lirio was also recognized as “Highly Commended” for Best Innovation in Deep Learning. AI Summit is the world’s leading event series...
Golden Spiral | Oct 14, 2020 |
Optimizing for Change: Why Your AI Isn’t Solving Your Problem Featuring Lirio’s Chris Symons, Ph.D., Chief Artificial Intelligence Scientist, & Clayton Webster, Ph.D., Distinguished Research Fellow The potential to democratize healthcare through Artificial...
Golden Spiral | Sep 10, 2020 |
Lirio Precision Nudging™: The Solution to Scalable Behavior Change Featuring Chandra Osborn, Ph.D., Susanne Blazek, Ph.D., Nicholas Griffin, Ph.D. Transformative digital health is well-anticipated but falls short in delivering scalable behavior change. The key to...
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...
