Mathematics

Optimization methods are the engine of machine learning algorithms. Examples abound, such as training neural networks with stochastic gradient descent, segmenting images with submodular optimization, or efficiently searching a game tree with bandit algorithms. We aim to advance the mathematical foundations of both discrete and continuous optimization and to leverage these advances to develop new algorithms with a broad set of AI applications. Some of the current directions pursued by our members include convex optimization,…

Established: July 9, 2014

Microsoft research developed a tool in collaboration with IUCN, SSC and UAL, to allow the rapid mapping and assessment of species, threats to species and conservation interventions. it is hoped that this tool will improve bottom up conservation monitoring. RedList assessments and bottom-up conservation mapping   The Conservation Mapping Tool allows web based, collaborative, mapping and assessment of species, threats to species and conservation interventions.   It is hoped that the tool will  transform the…

Redmond, Washington, USA | April 2019

The goal of Physics ∩ ML is to bring together researchers from machine learning and physics to learn from each other and push research forward together. In this inaugural edition, we will especially highlight some amazing progress made in string theory with machine learning and in the understanding of deep learning from a physical angle. Nevertheless, we invite a cast with wide ranging expertise in order to spark new ideas.