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Tech in Moscow

Tech in Moscow #14 (16 - 22 November 2020)

November 23, 2020, 09:30 (UTC+3)|

The weekly observer of Moscow's tech stories


main news about Moscow's projects, developers and technologies

  • About 300 medical organizations in Moscow use AI
  • Moscow hosted a meeting of the World Organization of Smart Sustainable Cities WeGO
  • An intelligent airport security system may be introduced at Moscow Vnukovo airport in 2021
  • Yandex plans to expand taxi service in Finland (Cards of Yandex)
  • Group and Google launch a joint acceleration program for mobile game developers from Russia and other countries (Cards of Group
  • Ashmanov Neural Networks opened access to the speech synthesis system for the Russian language (Cards of developer
  • Skoltech researchers improved catalytic properties of alloys using machine learning methods


The Cabinet of Ministers of Russia approved the roadmap for the development of “Mobile networks of the fifth generation”

$2.6 billion will be allocated for the development of 5G in Russia

Russian Government is preparing measures to support developers of open libraries in the field of AI

The Ministry of Transport may allow autonomous vehicles and drones to operate in common airspace

More news →


  • Rostelecom buys waste management company Big Three for $16.6 billion
  • Ozon unveils a new IPO prospectus and plans to raise up to $948 million
  • Motify online fitness service raised $3 million for development


researches, monitorings, reports and other analytics of Moscow and Russian IT market

  • TMT Consulting: penetration of BBA services in the B2C segment in the Moscow market exceeded 89% →
  • GSMA: mobile technologies and services generated 6.1% of GDP in the CIS region in 2019 – a contribution of $137 billion of economic value added →
  • PwC: 55% of global technology and security executives, including Russian, plan to increase their cybersecurity budgets, 51% to add full-time cyber staff in 2021 →


In October, MIT described a new approach to training artificial intelligence (AI) algorithms - “Less than one”-shot, or LO-shot learning, which, in theory, could fundamentally change the approach to machine learning (ML). Its main feature is the ability of AI ​​model trained using this technique to recognize more real objects than was presented in the training dataset. In other words, training neural networks does not require such a large sample of data as was usually needed.

ICT.Moscow and AI and ML experts have discussed how revolutionary this approach really is, whether it has real prospects for changing the field of machine learning, and whether it is nothing more than a curious experiment. The experts explained what the LO-shot approach is all about, how applicable it is today or may be applicable in the future, and what might hinder its application.

Read full issue →

MIPT has published the new issue of Almanac "Artificial Intelligence". The Almanac collects analytical materials on the industry of artificial intelligence in Russia and the world. 

It was prepared by the Center for Competence Research Institute on the basis of MIPT in the field of AI with the participation of HSE, Skoltech and the analytical group of IP Laboratory with the support of Sberbank of Russia, Analytical Center under the Government of the Russian Federation and the Ministry of Digital Development and Communications.

Request full issue → 


a showcase of some transportation solutions

VOCORD Traffic
Intellectual system for license plate number recognition and traffic violations fixation

Platform for handling logistic challenges in the urban environment

Neurocore: car recognition
Vehicle license plate number and class recognition system

Delimobil Pool
The service for connecting external motor car parks’ vehicles to car sharing

Smart Automatic Train Operation
Intelligent railroad train movement control system

More solutions →


discover people who stand behind the innovative companies and projects in Moscow

Aram Sargsyan, Regional General Manager EMEA & CIS at Yandex.Taxi | Facebook | Linkedin

Boris Dobrodeev, Chief Executive Officer of Group | Facebook | Crunchbase

Stanislav Ashmanov, CEO of Nanosemantics Lab, Co-founder of Ashmanov Neural Networks, Founder of SOVA | FacebookLinkedin

Igor Pivovarov, Chief Analyst at the Center of AI at MIPT, Editor of the Almanac "Artificial Intelligence" | Facebook | Linkedin

Arkady Sandler, Head of Artificial Intelligence of MTS | Facebook | Linkedin

Sergey Morozov, Chief Radiology officer of Moscow Healthcare Department | Facebook | Linkedin

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