Supercomputers programming
CUDA, OpenCL, OpenACC, TensorFlow, neural networks and high performance computing.
Open
AI Think-Tank · Real Knowledge · Working Intelligence
Strong Artificial Intelligence is a high-intensity AI think tank where real AI knowledge is forged for research structures, laboratories and applied programs: deep learning, supercomputing, robotics, autonomous systems and scientific education become methods, prototypes and mission-ready solutions.
Strong Artificial Intelligence exists to build true scientific understanding around artificial intelligence: mathematics, algorithms, parallel computing, neural networks, robotics and the disciplined engineering required to make intelligent machines useful.
The work connects theory and implementation. We teach people how to think algorithmically, design parallel systems and program with tools such as TensorFlow, CUDA, OpenCL, C++, Python, R, Haskell, Matlab and Octave on high-performance platforms for robotics and advanced AI applications.
Strong AI is the research core that feeds Robotics, Digimatronics, Italtrack, Mars exploration, automotive retrofitting and scientific education with methods, algorithms, prototypes and operational discipline.
Each program becomes a laboratory: supercomputing accelerates intelligence, robotics gives it a body, education gives it continuity, traceability gives it trust and space research gives it mission discipline.
CUDA, OpenCL, OpenACC, TensorFlow, neural networks and high performance computing.
OpenAutonomous balloons, robots, 3D printed habitats and hostile-environment exploration.
OpenProgramming, logic, mathematics, robotics and Arduino/MIT Scratch educational paths.
OpenRetrofitting existing cars to reduce waste and pollution with robotics and electric drive assistance.
Open
Strong AI is a living research and education think tank: courses, projects, robotics, Mars exploration, young-student AI education, blockchain traceability and high-performance computing form one coherent scientific ecosystem.
Strong AI keeps the focus on the work itself: concepts, solutions, experiments and programs. Real AI knowledge is forged through science, tested in machines and transformed into systems for Robotics, Digimatronics, Italtrack, Mars research, education and other connected structures.
Strong AI is not abstract decoration. The research becomes laboratories, vehicles, boards, robots, balloons, courses, traceability flows and space-oriented systems.







