AI: Autonomous + Decentralized – Research & Innovation Development

Autonomous Decentralized R&D

We are already living in the world of Autonomous Machines - Self Driving Cars, Manufacturing Machines, etc. So what does it take to constitute an Autonomous AI ?

Some of the crucial ingredients that make up for an Autonomous AI System include:

To manage all of the above in an efficient yet human-less way requires

Continuous Analysis of Data and Evolution through AI
Continuous Decision making and “Act" with Auto Execute
Continuous Tracking and Alerts through Continuous Monitoring
Continuous Education with Competition & other related Content
Recommendation with Predictive Modeling and Data Classification

Autonomous Decentralized R&D

To top this, enabling a Decentralized Capability to Autonomous AI would add another dimension towards the functioning attributes and contributing to the AI of Future.

A decentralized attribute adds, to ensuring that each autonomous machine can act, sustain and take individual decisions without the directives of any central authority. Leveraging facets of Blockchain and AI to constitute for the Security and Safety enablements, will create a whole new system of a highly sophisticated AI of the Future, merged with green energy, shared economies and complete visibility and auditability of machines that can coexist with Humans.

AI-PRIORI have worked on preliminary research pilots on shared and electric autonomous cars and likewise have great use case ideas that they are currently exploring through their highly capable team of Data Practitioners and Scientists.