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arXiv · 1810.03955

Holistic generational offsets: Fostering a primitive online abstraction for human vs. machine cognition

Shaun D'Souza·Trevor Mudge
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Abstract

We propose a unified architecture for next generation cognitive, low cost, mobile internet. The end user platform is able to scale as per the application and network requirements. It takes computing out of the data center and into end user platform. Internet enables open standards, accessible computing and applications programmability on a commodity platform. The architecture is a super-set to present day infrastructure web computing. The Java virtual machine (JVM) derives from the stack architecture. Applications can be developed and deployed on a multitude of host platforms. O(1) <-> O(N). Computing and the internet today are more accessible and available to the larger community. Machine learning has made extensive advances with the availability of modern computing. It is used widely in NLP, Computer Vision, Deep learning and AI. A prototype device for mobile could contain N compute and N MB of memory.

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Shaun D'Souza, Trevor Mudge. 2018-09-26. Holistic generational offsets: Fostering a primitive online abstraction for human vs. machine cognition. https://doi.org/10.7302/23386

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