US 12,175,343 B2
Virtual intelligence and optimization through multi-source, real-time, and context-aware real-world data
Cevat Yerli, Dubai (AE)
Assigned to THE CALANY HOLDING S. À R.L., Luxembourg (LU)
Filed by THE CALANY Holding SÁRL, Luxembourg (LU)
Filed on Aug. 14, 2023, as Appl. No. 18/233,775.
Application 18/233,775 is a continuation of application No. 16/545,876, filed on Aug. 20, 2019, granted, now 11,763,191.
Prior Publication US 2023/0385696 A1, Nov. 30, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 20/00 (2019.01); G06N 5/04 (2023.01); H04L 67/01 (2022.01); H04L 67/12 (2022.01)
CPC G06N 20/00 (2019.01) [G06N 5/04 (2013.01); H04L 67/01 (2022.05); H04L 67/12 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for managing and optimizing real world entities with machine learning algorithms, the system comprising:
a server computer system configured to store and process input data, the server computer system comprising a memory and a processor; and
a plurality of connected elements connected to the server computer system via a network, each of the plurality of connected elements comprising a sensing mechanisms configured to capture multi-source sensory data from the real world entities;
wherein the memory of the server computer system stores a persistent virtual world system comprising virtual replicas of the real world entities that are updated based on the multi-source sensory data, and
wherein the server computer system is configured to:
generate explicit data sets representing functioning and behavior of the real world entities;
train the machine learning algorithms with the explicit data sets to generate trained machine learning data sets; and
apply the trained machine learning data sets in an artificial intelligence application to manages operation of the real world entities and generates real behavior data of the real world entities during the operation of the real world entities.