Abstract: Embodiments of the invention include a drone system or method for distracting a threat with a light source. In some embodiments, an environment can be scanned with a sensor that produces sensor data. A threat within the environment can be identified from the sensor data, and the location of the threat can be determined. The light source can be aimed toward the threat; and light may be directed from the light source toward the threat.
Abstract: A system for generating short-, medium, long-range and specific area and effect weather or climate forecasts by training a cluster of AI to “understand” the physics that effects the weather and running the clusters on a decentralized computing system or network. Individual modules for specific knowledge of different climate-variability phenomena can be integrated and interrogated to calculate the forecast based on a consensus of future predictions based on a subset of the clusters. The selection criteria determining which modules are deemed to fit may be adjusted to optimize the use of observations in forecasting specific climate variables or geographic regions in order to develop forecasts tailored to particular applications.
Type:
Grant
Filed:
August 20, 2020
Date of Patent:
January 2, 2024
Assignee:
QUISnet, Inc.
Inventors:
Mattias Bergstrom, Christopher Bijou, Stan Miasnikov, Torkel Lindstrom