AI
Digital Twin
The virtual reality of tech systems and processes; a software-based simulation model that is developed and used to monitor and control complicated modern systems. A digital twin is synchronized with the physical system in real time or through collecting and exchanging data. The digital twin can make intelligent decisions with the aid of AI-based deep reinforcement learning.
DRL
Deep Reinforcement Learning
Deep reinforcement learning (DRL) is a neuro-inspired optimal control based on dynamic programming. A very effective tool to handle complex systems whose underlying maths are extremely nonlinear to too complex to develop using the existing methods. DRL agent takes control of the digital twin and upgrades itself, based on historic data, real-time data, simulation model-based synthetic data, and/or optimization results .
Deep reinforcement learning control
Optimization by Dynamic Programming
Intellignet autonomy
Visual Controllers
DRL agent are trained based on visual data observed from the environment or given from sequence data.
The power of AI CNN in system control
Handling time-complexity in dynamic time-scale
Features
What We Offer
Consultancy Services
We provide quality consultacy service with the cutting edge technologies to address your tech problems.
Simulation tests
We provide accurate dynamic mdeling and simulation test results to verify the methods.
DT Architecture design
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AI-based solutions
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Quality Research
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R0, R1 and R2
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Leverage the power of MAI in your business to cope with technical problems you face that may put your business at risk. We in particular provide research-based (sub) consultancy services for consultant companies and investors willing to boost their assets in the technology sector