Russian schoolchildren will present their developments at an international competition in Beijing. Among the projects are AI programs, "smart" coatings, and solutions for ecology and medicine.
The winners of the All-Russian competition "Scientists of the Future" will travel to the Beijing Youth Science Creation Competition (BYSCC) in Beijing.
The participants have prepared developments in the most relevant areas — from drones and artificial intelligence to solutions in ecology, medicine, and new materials.
One of the projects is a universal frame for an F9U-class racing FPV drone. This engineering solution was created in response to Russian pilots' dependence on foreign equipment.
A new design was created, more than 25 prototypes were tested, after which the development entered mass production. It is already being used by Russian champions and athletes from different regions. A new version is now being prepared.
Another development is the SmartSpray precision spraying system based on machine vision. The neural network recognizes weeds with an accuracy of 97–98% and treats only the required areas.
A separate area is photocatalytic self-cleaning coatings based on titanium dioxide. The participants not only developed an effective material composition, but also created their own analysis program, Konstanta AI, to evaluate its properties. Such coatings are capable of cleaning themselves under the influence of light.
Another study is related to computer modeling of chemical reactions. With its help, it is possible to calculate the properties of molecules in advance on a computer without creating them in a laboratory. This makes it possible to develop new medicines and chemical technologies for industry more quickly.
Read more on the topic:
- Schoolchildren to Study Drones: Prosveshcheniye Publishing House Releases First UAV Textbook for High School Students
- Moscow school student built a stabilizable drone from scratch
- Artificial intelligence vs immature intelligence: Russian schoolchildren will begin to be taught how to work with neural networks