engineer-i design engineering suite of AI tool kit series
our mission
We do design and develop algorithms, using machine learning/Deep learning algorithms, to develop surrogate or hybrid quantum models, to solve design models. Surrogate models developed using artificial neural network in quantum domain, in order to estimate design performance, through life cycles of design, checked, validated and verified against captured design requirements. All are scripted on python..
our mission
We do design and develop algorithms, using machine learning/Deep learning algorithms, to develop surrogate or hybrid quantum models, to solve design models. Surrogate models developed using artificial neural network in quantum domain, in order to estimate design performance, through life cycles of design, checked, validated and verified against captured design requirements. All are scripted on python..
our task
engineer-i, is design engineering suite of algorithms, featured using machine learning and deep learning technologies on artificial neural network architecture , to build surrogate quantum models, from classical mechanical models, enabled on cloud/edge. Quantum computing in this process, has offered a viable path towards efficient multi-parameter optimization covering the entire design space.
​
Our technology
engineer-i API’s enabled by methods (i) development of quantum-hybrid approach code, based on development of solver using open-source free software to analyse and design propulsion plant, to assess performance through life cycles of design as classical systems extension to quantum states burdens that inherently exist in Monte Carlo simulation.
![]() | ![]() | ![]() | ![]() |
---|
engineer-i design engineering suite of AI tool kit series: Featured APIs
![]() | ![]() | ![]() | ![]() |
---|---|---|---|
![]() | ![]() | ![]() | ![]() |
![]() | ![]() | ![]() |
engineer-i design engineering suite of AI tool kit series: Technology
![]() | ![]() | ![]() | ![]() |
---|
engineer-i design engineering suite of AI tool kit series : Contact
![]() | ![]() | ![]() | ![]() |
---|---|---|---|
![]() |