Tactics and strategies for scalable robust intelligent systems

This talk is comprised of two parts: tactics and strategies.

First, tactics are discussed how to use Erlang and Elixir for implementing scalable robust concurrency as follows:

  • Minimizing latency in mailboxes
  • Implementing holes in a region of mutual exclusion
  • Performing cleanup in order to facilitate further progress

Second, strategies are presented how to implement universal reusable secure intelligent systems in this decade. Reusable Secure Intelligent Systems (RSIS) have the following characteristics:

  • Interactively acquire information from video, Web pages, hologlasses (electronic glasses with holographic-like overlays), online data bases, sensors, articles, human speech and gestures, etc
  • Real-time integration of massive pervasively inconsistent information
  • Close human interaction using hologlasses for interacting with the world and secure mobile communication
  • Self-informative in the sense of knowing its own goals, plans, history, provenance of its information and having relevant information about its own strengths and weaknesses
  • Teachable so that systems can interactively adapt in real time (instead of relying exclusively on passively attempting to find correlations among inputs)
  • Reusable enabling an intelligent system to be used by other intelligent systems without having to start over from scratch
  • Secure meaning that there are no easy ways to penetrate systems and/or deceive them into taking inappropriate actions
  • No closed-form algorithmic solution is possible to implement the above capabilities

China is racing to develop its own indigenous universal reusable secure intelligent systems as rapidly as possible.

Liftoff is a proposed project for education, science, and technology to implement universal Reusable Secure Intelligent Systems by 2030. Education will be crucial to the success of Project Liftoff because there is an enormous talent shortage.





Intelligent Systems


Explain how to use Erlang and Elixir to implement future scalable robust intelligent systems.


Researchers, executives, and software engineers interested in the future of scalable robust intelligent systems.