Federated learning (FL) is a new machine learning setting introduced in 2016 in a sequence of papers resulting from a collaboration between a Google team led by Brendan McMahan and Peter Richtarik’s group.
Learning to Edit 3D Structural variations with Language Guidance with Neural Networks
We focus on the development of safe guidance strategies for aerial vehicles capable of routine and emergency maneuvers, using recent progress in Reinforcement learning, graph neural network and transfer learning.
Traditional approaches to characterize and quantify benthic communities and their changes rely on 1D or 2D surveys conducted by divers within a prescribed area.
The biological problem with implications for stem cell therapy and regeneration: In theory human induced pluripotent stem cells (hiPSCs) can differentiate into hematopoietic stem cells, which is the most used cell type in cell therapy.