“AI.4.IoT”: A Technology for Edge Computing at the IoT (Funded by the U.S.D.D; Well Tested; Patented)

Price: $-8

Industry: Artificial Intelligence and Computing on the Edge of the Cloud

Listing ID: AI.4.IoT.Edge for Decentralized Decision Making

AI.4.IoT.Edge.Edge.Computing.and>AI.Prerequisites

This AI Technology for Edge Computing at the IoT has been designed to be a critical enabler for Decentralized Decision Making at IoT’s Edge. The AI.4.IoT.Edge is emulating the function of Nature’s Systems (e.g. swarms) that are driven by autonomous and distributed functioning intelligence.

AI.4.IoT.Edge’s Networks are self-formed among nodes with no need for routing tables (done by the use of dynamically changing tables of pheromone values for known/discovered neighbor mobile nodes.) All formed at a high level of encryption. These self-formed networks have immense scalability and can network with limited-capability networks and augment their ability to scale up to the broader IoT

The AI.4.IoT.Edge has been reduced to a minimal footprint algorithmic code. Its variations can be flash-installed to the majority of smart sensors let alone mobile computers/tablets and PDA’s potentially after due non-recurring engineering.

The AI.4.IoT.Edge is a well-tested technology via the inventor’s many prototypes. The inventor has also good reasons to believe that a variation of AI.4.IoT was tested in a recent late-2016 test by the U.S. Military of 100+ airborne drones flying and functioning autonomously. This technology was developed by the Inventor via funding and 5 awards from the US Defense Department (DARPA – Defense Advanced Research Projects Agency (invented the Internet)-, US Army CECOM, NASA, US Navy and the AF Res. Labs.)

Selected AI & IoT Edge Computing Issues Addressed by AI.4.IoT.Edge:
While a large number of traditional engineering models and algorithms are focused on control and centralization, Natural Systems’ behavior (e.g. bees, ants, etc.) are primarily characterized by autonomy, self-organizing and distributed functioning. Natural systems teach us that very simple individual organisms can form systems capable of performing very complex tasks by dynamically interacting with each other. At the same time Cyber Security, IoT asset coordination, behavior predictions, and big data analysis all involve dealing with very complex systems made up of complex individuals generating large amounts of data. Solving problems in these fields requires a type of artificial intelligence that can understand and model the complexity and diversity of the systems and individuals involved in a distributed way at the Edge of the IoT.

It is this background that makes AI.4.IoT.Edge a pivotal technology since it can address the above issues via its capabilities discussed briefly in the first half of this summary. The following outlines these capabilities in a more detailed manner:

  1. Has the innate ability of creating distributed intelligence by emulating the function of nature’s Swarms with very low infrastructure requirements and a low footprint code that can be installed on a variety of smart devices with limited CPU’s.
  2. Creates highly scalable Secure mobile Ad-Hoc Networks with Self-Learning/Forming/Healing across different operating systems while leveraging limited Networks.
  3. The blending of the above two capabilities creates an un-paralleled Swarm-Driven AI Platform capable of meeting the commonly accepted prerequisites of AI (i.e. Perception, Learning, Knowledge, Reasoning, Ability to Move, Ability to Manipulate Objects, Natural Language -via Voice-over-Swarm.)
  4. Further, it is the Inventor’s position that that Swarm-T is capable of delivering Ad-Hoc Deep Learning for Machines via its ability to mine intelligence with Deep Neural Networks via its Swarm Driven AI Platform.

An IoT inter-connected in a Self-Forming/Learning/Healing mode across different platforms as well as powered with its swarm-driven AI Platform is bound to deliver the visionaries’ expectations. AI.4.IoT is the kind of technology that can become the driving force behind demanding applications like Car-2-Car and Car-2-X communications, IoT, IIoT and countless other applications. After all, it was designed and tested by DARPA to be worthy of facing the rigors of the battlefield. Additionally, it is capable of transmitting Voice-Over-Swarm, a critical application when access to remote cellular towers is not possible or extreme privacy is needed.

AI.4.IoT.Edge’s swarm-empowered AI Platform is a technology equipped to handle the increased needs of Decentralized Decision Making as we will be riding the tidal wave of low-cost embedded computing proliferation in tandem with massive supply of sensory devices and ad-hoc secure connectivity.

The attached Appendix explains (a) how the AI.4.IoT.Edge can function as an Edge Computing Platform and (b) how it can be the IoT Integrator and handle its priorities and Decentralized Decision Making.

 

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January 26, 2018
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