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DATASCIENCE DEPARTMENT
FOR YOUR COMPANY
I

We can find solutions
and make them work
II

We have wide possibilities for application evaluation
III

We keep up with brand-new methods and approaches
IV

We are open to new challenges
WHAT WE WORK WITH
Чем мы занимаемся MATHEMATICS DEVELOPMENT DESIGN DATA ANALYSIS MACHINE LEARNING LAUNCH
APPLICATION

BrainGarden Team has a wide experience in various fields, such as:

Bioinformatics

Cell lines optimization, small molecules properties evaluation systems with application of Deep Learning algorithms, small molecules repertoire generation, directed search of molecules with predetermined properties

Financial market management

ML-based Developement and implementation of decision making systems on financial markets, organisation of optimal investment portfolio

Logistics

Working with geoinformational systems, route optimization algorithms development, fleet use recycling increase, optimal location of infrastructure objects search for logistics purposes

Pattern recognition

Pattern recognition and computer vision problems. face recognition, face detection, sex and age determination, segmentation, face search in a photo bank, photos array clusterization

Generative art

Our own style transfer developments via Deep Learning. In particular, we implemented some variations of such algorithms: gradient, feed-forward, patched. We moved even further and now we are able to prepare an image in any resolution using any of these algorithms. We also stylise video

Production planning

Automatic schedule generation algorithms development, resources usage optimisation

OUR TEAM
OUR EVENTS
DataFest
September, 10-11 2016
Lecture topic: «Machine learning in medical data analysis»

Contemporary medicine gained a wide range of information about patients and disease progression. A lot of diagnostic and research methods have appeared — from blood analysis to genetic tests, from ECG and ultrasound to computer tomography. This lecture is going to cover several applications of machine learning to medical data. Who is better at diagnosing cancer: a human or a machine? Is it possible to predict cardiac failure nine month before it happens?
DataFest
September, 10-11 2016
Lecture topic: «Machine learning in medical data analysis»

Contemporary medicine gained a wide range of information about patients and disease progression. A lot of diagnostic and research methods have appeared — from blood analysis to genetic tests, from ECG and ultrasound to computer tomography. This lecture is going to cover several applications of machine learning to medical data. Who is better at diagnosing cancer: a human or a machine? Is it possible to predict cardiac failure nine month before it happens?
SmartData
October, 21 2017
Lecture topic: «No data? No problem! Deep Learning with CGI»

At the moment, deep convolutional networks are state-of-the-art algorithms in many problems of computer vision. However, most of the algorithms require huge training datasets, and the quality of the model depends entirely on the quality and quantity of the data. In a number of tasks, data collection is difficult and sometimes impossible. In the talk, we will consider an example of training deep convolutional networks for object keypoints localization on a fully synthetic data set.
Big Data In Business
June, 17 2017
Lecture topic: «Data and machine learning in retail and logistics»

Data Festival «Big data in business» became a place for presenting examples of successful implementation of Big Data in various business fields: from marketing and advertisement to building exploitation, and also discussion panel for talking about possibilities of machine learning tools and big data analysis.
Big Data In Business
June, 17 2017
Lecture topic: «Data and machine learning in retail and logistics»

Lecture topic: «Data and machine learning in retail and logistics» Data Festival «Big data in business» became a place for presenting examples of successful implementation of Big Data in various business fields: from marketing and advertisement to building exploitation, and also discussion panel for talking about possibilities of machine learning tools and big data analysis.
Science festival «KSTATI»
April, 20 2017
Lecture topic: «Machine learning: a brand-new mind of humankind»

«KSTATI» — federal science festival that is held by Nuclear Energy Information Center network since 2015 in different cities of Russia and abroad with the support of State Corporation «Rosatom». These Festivals have been held in Kaliningrad, Rostov-on-Don, Murmansk, Novosibirsk, Saratov, Voronezh, Minsk. During «KSTATI» festival more than 200 events have taken place, participants and audience of which estimated more than 40 000 people.
ADHACK GALAXY
August, 26-27 2017
Lecture about Personified offline advertisement

Hackathon ADHACK GALAXY — The First advertisement and marketing hackathon in Saint-Petersburg.
ADHACK GALAXY
August, 26-27 2017
Lecture about Personified offline advertisement

Hackathon ADHACK GALAXY — The First advertisement and marketing hackathon in Saint-Petersburg.
Science festival «KSTATI. Revolution in science»
October, 28-29 2017
Lecture topics:
«Machine learning: a brand-new mind of humankind»
«Art of neuronetworks: why do we do it»
«Machine intelligence: human possibilities expansion»


Science festival «KSTATI. Revolution in science» was held in Novosibirsk in October, 25029 2017 by Nuclear Energy Information Center network with the support of State Corporation «Rosatom».

CONTACT US
If you want to work with us, tell us about your challenge or idea
and we will help you to find a solution and implement it

+7 (812) 629-1413
info@braingarden.ai