The weekly observer of Moscow's tech stories
main news about Moscow's projects, developers and technologies
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
researches, monitorings, reports and other analytics of Moscow and Russian IT market
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.
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.
a showcase of some transportation solutions
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
The service for connecting external motor car parks’ vehicles to car sharing
Smart Automatic Train Operation
Intelligent railroad train movement control system
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The Central Bank of the Russian Federation