Abstract: A computer-implemented system and method of analyzing historical business data and business objectives for real estate solution prediction is provided. The method includes receiving a user dataset associated with a business entity by a server computing device. The server may determine a set of forecasted headcounts at different points of future time based on a historical headcount, generate a plurality of scenarios associated with the business entity based on the forecasted headcount and the commercial objective dataset, and construct option trees with respective real estate solutions corresponding to respective scenarios. A neural network system may be configured to perform stress tests against respective scenarios to evaluate respective real estate solutions and determine respective costs and actions associated with respective real estate solutions.

Abstract: A device comprises memory, a display characterized by a display characteristic, and processors coupled to the memory. The processors execute instructions causing the processors to receive data indicative of the display characteristic, data indicative of ambient lighting, and data indicative of content characteristics for a content item; determine a tone mapping curve for the content item based on the data indicative of content characteristics; determine a first, so-called “anchor” point along the tone mapping curve; modify a first portion of the tone mapping curve below the anchor point based on the data indicative of ambient lighting; modify a second portion of the tone mapping curve above the anchor point based on the data indicative of the display characteristic; perform tone mapping for the content item based on the modified toned mapping curve to obtain a tone mapped content item; and cause the display to display the tone mapped content item.

Abstract: A computer-implemented system and method of analyzing historical business data and business objectives for real estate solution prediction is provided. The method includes receiving a user dataset associated with a business entity by a server computing device. The server may determine a set of forecasted headcounts at different points of future time based on a historical headcount, generate a plurality of scenarios associated with the business entity based on the forecasted headcount and the commercial objective dataset, and construct option trees with respective real estate solutions corresponding to respective scenarios. A neural network system may be configured to perform stress tests against respective scenarios to evaluate respective real estate solutions and determine respective costs and actions associated with respective real estate solutions.

Abstract: A device comprises memory, a display characterized by a display characteristic, and processors coupled to the memory. The processors execute instructions causing the processors to receive data indicative of the display characteristic, data indicative of ambient lighting, and data indicative of content characteristics for a content item; determine a tone mapping curve for the content item based on the data indicative of content characteristics; determine a first, so-called “anchor” point along the tone mapping curve; modify a first portion of the tone mapping curve below the anchor point based on the data indicative of ambient lighting; modify a second portion of the tone mapping curve above the anchor point based on the data indicative of the display characteristic; perform tone mapping for the content item based on the modified toned mapping curve to obtain a tone mapped content item; and cause the display to display the tone mapped content item.