After multiple workshops and engagements with various departments, we recently signed and kick-started joint collaboration program with ๐๐ข๐ ๐ก ๐๐๐๐ก ๐๐ฒ๐ฌ๐ญ๐๐ฆ๐ฌ ๐๐๐ง๐ญ๐๐ซ of Eindhoven University of Technology . Recognition of Motion Imager‘s Computational Optical Imaging toolboxโs capability as one of the ๐๐๐ฒ ๐๐ง๐๐๐ฅ๐ข๐ง๐ & ๐๐ซ๐ข๐ญ๐ข๐๐๐ฅ ๐ญ๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ฒ, in predicting and decoding complex system design and manufacturing stages emergence dynamic phenomena is well received by group of scholars. This is to unify cross-science and engineeringโs infinite dimensions multilinear and multiscale relationships and phenomena learning for novel discoveries and empirical evidence backed reasoning of anomalous effect and deterministic prediction of future emergent states. Simplifying and automating the multi-material, multi-stage, multi-scale complex shape and material properties dependent man/robot/machine manufactured products and new metamaterial engineering design and drafting.
This cooperative development will aim to achieve underpinning technologyโs certain building blocks feature universality, performance limit and augment the overall confidence threshold limits of the system in various conditions.
Manufacturing technologies are not only the cornerstone of modern civilisationโs growth in productivity & longevity per capita but also key to the economic might of nation and propellor of long surviving innovations. Manufacturing industry has the highest multiplier effect of any economics sector, as per reports , for every ๐ ๐๐๐ ๐ฌ๐ฉ๐๐ง๐ญ ๐ข๐ง ๐ฆ๐๐ง๐ฎ๐๐๐๐ญ๐ฎ๐ซ๐ข๐ง๐ , ๐๐ง๐จ๐ญ๐ก๐๐ซ ๐.๐๐ ๐๐๐ ๐ข๐ฌ ๐๐๐๐๐ ๐ญ๐จ ๐ญ๐ก๐ ๐๐๐จ๐ง๐จ๐ฆ๐ฒ.
Complex systems during design , manufacturing and assembling, while it takes a desired shape and structure undergoes various changes in micro-meso-macroscopic scale. Unaided human intellect is not sufficient to understand the emergence systems phenomena, when many multiscale local to global and vice-versa linkages are not discernible and sufficient high-fidelity
data of multi-dimensions are not acquirable. Supervising the metrizable space of large-volume size and generate geometric shapes & forms at multiscale and material mechanics metrology shift happening physically requires acquiring and modelling using some beyond the state-of-art Phenomena learning machine tools whose outputs are not sub-optimal, which many current consumer facing AI tools can afford to live with.
This long-term collaboration augments our technology & system-engineering capability maturity level & effectiveness with participation & engagement in various labs, programs and stakeholders outreach.
Thank you Victor Sanchez Martin, Olaf van der Sluis and Peter Baltus for a great kick-start and signing ceremony.
