Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments

no code implementations • 5 Nov 2020 • Matthew Praeger, Yunhui Xie, James A. Grant-Jacob, Robert W. Eason, Ben Mills

Reinforcement learning was carried out in a simulated environment to learn continuous velocity control over multiple motor axes.

Reinforcement Learning (RL)

Modeling adult skeletal stem cell response to laser-machined topographies through deep learning

no code implementations • 30 May 2020 • Benita S. Mackay, Matthew Praeger, James A. Grant-Jacob, Janos Kanczler, Robert W. Eason, Richard O. C. Oreffo, Ben Mills

The response of adult human bone marrow stromal stem cells to surface topographies generated through femtosecond laser machining can be predicted by a deep neural network.

Cultural Vocal Bursts Intensity Prediction