US 11,734,763 B1
Implementing a hardware resource class
Joel Gheen, Monument, CO (US); and Raghav Mathur, Denver, CO (US)
Assigned to BASELINE GROWTH CAPITAL, LLC, Monument, CO (US)
Filed by Baseline Growth Capital, LLC, Monument, CO (US)
Filed on Dec. 22, 2020, as Appl. No. 17/130,091.
Claims priority of provisional application 62/957,893, filed on Jan. 7, 2020.
Int. Cl. G06Q 40/06 (2012.01); G06N 20/00 (2019.01); G06Q 10/04 (2023.01); G06Q 30/0201 (2023.01)
CPC G06Q 40/06 (2013.01) [G06N 20/00 (2019.01); G06Q 10/04 (2013.01); G06Q 30/0206 (2013.01)] 18 Claims
OG exemplary drawing
 
1. An electronic computing device for implementing a hardware resource class, the electronic computing device comprising:
an electronic processor configured to
determine a rate of a hardware resource, wherein the hardware resource is configured to allow a hardware-based solution provider to provide a service to an end user, and wherein the rate is configured to be remunerated by a source different than the end user,
determine a plurality of weights for a first machine learning algorithm using first input variables associated with the hardware resource and external data related to the hardware resource;
determine an inflow amount for the hardware-based solution provider to remunerate to the source based at least partially on the rate of the hardware resource using the first machine learning algorithm; and
modify the first machine learning algorithm based on user feedback, a comparison of actual performance to predicted performance, or both to update future determinations made by the first machine learning algorithm,
wherein the end user utilizes the service from the hardware-based solution provider, and wherein the service from the hardware-based solution provider is at least partially based on data provided by the hardware resource.