Apple inc. (20240135251). ARTIFICIAL INTELLIGENCE CONTROLLER THAT PROCEDURALLY TAILORS ITSELF TO AN APPLICATION simplified abstract

ARTIFICIAL INTELLIGENCE CONTROLLER THAT PROCEDURALLY TAILORS ITSELF TO AN APPLICATION

Organization Name

apple inc.

Inventor(s)

Ross R. Dexter of Cupertino CA (US)

Michael R. Brennan of Cupertino CA (US)

Bruno M. Sommer of Cupertino CA (US)

Norman N. Wang of Cupertino CA (US)

ARTIFICIAL INTELLIGENCE CONTROLLER THAT PROCEDURALLY TAILORS ITSELF TO AN APPLICATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240135251 titled 'ARTIFICIAL INTELLIGENCE CONTROLLER THAT PROCEDURALLY TAILORS ITSELF TO AN APPLICATION

Simplified Explanation

The method described in the abstract involves an artificial intelligence controller receiving state information from a device regarding a software application component, interpreting this information, selecting an artificial intelligence algorithm for the software application component, and transmitting this algorithm back to the device for use.

• The method involves receiving state information from a device at an artificial intelligence controller.
• The state information includes potential state changes and metrics for end conditions.
• The artificial intelligence controller interprets the state information and selects an algorithm for the software application component.
• The selected algorithm is then transmitted back to the device for use in the software application component.

Potential Applications

This technology could be applied in various industries such as healthcare, finance, and manufacturing to optimize processes and decision-making based on real-time data analysis.

Problems Solved

This technology helps in automating the selection of artificial intelligence algorithms based on the state information received from devices, improving efficiency and accuracy in decision-making processes.

Benefits

The benefits of this technology include improved performance of software applications, enhanced decision-making capabilities, and increased automation of processes.

Potential Commercial Applications

One potential commercial application of this technology could be in the development of smart devices and IoT systems that can adapt and optimize their operations based on real-time data analysis.

Possible Prior Art

One possible prior art for this technology could be systems that use machine learning algorithms to optimize processes based on data analysis, but the specific method of selecting AI algorithms based on state information may be novel.

What is the impact of this technology on decision-making processes in various industries?

The impact of this technology on decision-making processes in various industries is significant as it allows for real-time analysis of data and automated selection of AI algorithms to optimize decision-making processes.

How does this technology improve the efficiency of software applications running on devices?

This technology improves the efficiency of software applications running on devices by automating the selection of AI algorithms based on the state information received, leading to better performance and decision-making capabilities.

Original Abstract Submitted

a method may include receiving a communication from a device at an artificial intelligence controller including state information for a software application component running on the device, the state information including information corresponding to at least one potential state change available to the software application component, and metrics associated with at least one end condition, interpreting the state information using the artificial intelligence controller, and selecting an artificial intelligence algorithm from a plurality of artificial intelligence algorithms for use by the software application component based on the interpreted state information; and transmitting, to the device, an artificial intelligence algorithm communication, the artificial intelligence algorithm communication indicating the selected artificial intelligence algorithm for use in the software application component on the device.