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Machine Learning Summer School, Materials Discovery from Natural Language, BarCamp EVN, NSF-FAST, AUA Data Science, Wolfram |
See also: Machine Learning Reading Group Yerevan and facebook.com/MLEVN.org/events
April 9-11: DataFest Yerevan
The 5th summer school on mathematics and applications was held in August with lecturers Shai Ben-David from the University of Waterloo, Robert M. Gower from Telecom-Paristech, Julien Mairal from Inria Grenoble, Dmitry Vetrov from the Higher School of Economics, Arnak Dalalyan from ENSAE / CREST, Adam Bittlingmayer, founder of Signal N, and Erik Arakelyan, a machine learning engineer at Teamable.
SmartTalk at ISTC on 18 July
Vahe Tshitoyan is currently Postdoc at Berkeley Lab working on Natural Language Processing and Machine Learning problems in materials science.
Can your laptop discover materials for different applications simply by reading a scientific text, with no structured scientific input? Can it do this with minimal or no supervision? If these questions spark your curiosity, come along to the talk. In addition to giving answers to these questions, Vahe will demo several tools created to assist academia and industry with materials search and discovery.
- DIY deep learning - Evan Shelhamer, CAFFE
- ML: Industry vs Science - Panel Discussion
- How to train your ML models with Cloud - Leonid Kuligin, Google Cloud
- Pixels in, pixels out: deep learning for image-to-image tasks - Evan Shelhamer, CAFFE
- Machine Learning in Finance - David Kocharian, PicsArt
- Challenges of Big Data Analytics - Erik Hambardzumyan, Albert Sargsyan, PicsArt
Machine Learning for Discovery Sciences
US National Science Foundation
FAST Foundation
DSW 2017
American University of Armenia
Armenian Wolfram Technology Conference
Wolfram Armenia