TOMSK, Nov 11 –
RIA Tomsk. Five laboratories were deployed at Tomsk State University (TSU) as part of one of the tracks of the educational intensive
"Archipelago 20.35"; project participants will master the tools for
working with unmanned aerial and self-driving vehicles, reported on the university
website on Wednesday.
Earlier it was
reported that "Archipelago 20.35" is an educational intensive aimed
at increasing the number of teams and startups in Russia implementing projects
using new technologies. The main organizer of the project is "University
20.35", sites for its implementation are organized in Moscow, St.
Petersburg, Kazan, Innopolis, Novosibirsk and Tomsk. The operator of the event
in Tomsk is TSU; more than 200 of its students and employees take part in the
online intensive, which began on the basis of the university on November 7.
basis of TSU, three large-scale tracks of the educational intensive
"Archipelago 20.35" are held. On one of the tracks about a hundred
participants master the tools and approaches necessary to create the
"brain" of self-driving vehicles and unmanned aerial vehicles (UAVs).
Five laboratories are deployed within the framework of this track", – says
Stanislav Shidlovsky, Dean of the Faculty of Innovative Technologies of TSU,
the work of the laboratories is built so that specialists can master the pool
of artificial intelligence technologies necessary for the development of
promising startups. Moreover, within the framework of the track there is an
opportunity to try to realize your ideas or projects already started.
as an "entry ticket" for the participants of the track. In the
process of working on new projects, participants can get advice from experts –
representatives of companies that have already created and brought to the
market a number of products that operate on the basis of AI", – the press
service of the university said.
It is added that
one of the laboratories is training participants in the creation and use of
peculiarity of the UAVs is low carrying capacity, therefore, you cannot put a
large computer on them. To carry out calculations on board and do it in real
time, complex algorithms are required, including neural networks. This is one
of the main tasks that the participants of the intensive are working on",
– Shidlovsky is quoted in the message.
On the basis of
the second laboratory, experts help participants master the technologies and
tools necessary to build various services and then link them to drones.
experience allows us to significantly expand the range of tasks that UAVs can
solve, in particular, use them as couriers for the delivery of goods or in
security and video surveillance systems, monitoring and others", - the
direction of the track is vision systems for self-driving vehicles and unmanned
aerial vehicles. They help drones recognize a situation: distinguish between
people and signs, identify obstacles, look for ways to bypass them, and map
their own route.
The work of the
fourth laboratory is devoted to control systems for drones using artificial
intelligence, in the fifth participants learn to use artificial intelligence
for pattern recognition. All track events are held online.
Earlier it was
also reported that within the framework of the tracks organized by TSU,
scientists and entrepreneurs will also talk about how to predict academic
progress and student dropout using artificial intelligence, how to create an
electronic tutor, how to use AI technologies to form scientific teams. The
track experts are representatives of the university and more than 30 companies.