A new level of carbon managers training
Investment in profitable production of CO2 based materials
Billions and decarbonization
During the organization of industrial decarbonization, enterprises face problems of return on investment and financing of such tasks as modernization of equipment, personnel training, organization of CO2 capture and conversion.
polaritonic chemistry, quantum mathematics, neuromorphic neural networks, smart raw materials
Neuromathematical innovations for quantum decarbonization
solves 3 main tasks
intellectual training of AI-specialists in quantum decarbonization and polaritonic chemistry
design of technological processes for the development of quantum materials from CO2
optimization of NP-hard calculations for equipment management and reduction of CO2 emissions
Your new knowledge
Solve tasks with new specialists to get an increase in the profitability of CO2 conversion from 55%
We're using heart rate data for our neuropedagogy tasks without any neural interfaces. Learning can became faster in 4 times.
State-of-art neural networks to develop new 2D nanomaterials faster in 100 times based on quantum computing technologies.
Ecosystem of startups to effectively manage innovations and open more then 5 new highly profitable business areas.
Create and manipulate polaritons in nanomaterials - 30 times faster with polaritonic chemistry.
Harness the power of Riemann's non-commutative quantum geometry to solve the most important quantum computing challenges:
Use the potential of the latest CO2 conversion technologies to achieve energy efficiency >80%
Use deep learning advantages to reach 98% predictive performance for the following directions:
Your royal profit with quantularis
New approach - based on neuropedagogical technologies
Deep Learning for Industrial Quantum Decarbonization
This course is designed for 1560 hours of study (over 2 years) and corresponds to the master's level. Get basic background for intellectual manufacturing execution systems management in 3 calendar months.