Nature

A meta-learning framework to mitigate negative transfer in transfer learning applicable to drug design

Data sparseness is a major limiting factor for deep machine learning. In the natural sciences, data distributions are heterogeneous. For instance, in chemistry and early-phase drug discovery, compound ...
Nature

Scale-up of complex molecular reaction system by hybrid mechanistic modeling and deep transfer learning

Process scale-up is a critical step in advancing chemical processes from laboratory research to industrial production, involving step-by-step experiments at laboratory, pilot, and industrial scales.
EurekAlert!

Transfer learning in motor imagery brain computer interface: a review

Mingai Li, received her B.Sc. degree and M.Sc. degree from Daqing Petroleum Institute, Heilongjiang, China, in 1987 and 1990 respectively, and Ph.D. degree from Beijing University of Technology, ...
VentureBeat

Imperial College London, DeepMind introduce embodied agents that learn with less data

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Embodied AI agents that can interact with ...