18390452. ARTIFICIAL INTELLIGENCE CONTROLLER THAT PROCEDURALLY TAILORS ITSELF TO AN APPLICATION simplified abstract (Apple Inc.)
Contents
- 1 ARTIFICIAL INTELLIGENCE CONTROLLER THAT PROCEDURALLY TAILORS ITSELF TO AN APPLICATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ARTIFICIAL INTELLIGENCE CONTROLLER THAT PROCEDURALLY TAILORS ITSELF TO AN APPLICATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Artificial Intelligence Algorithm Selection
- 1.13 Original Abstract Submitted
ARTIFICIAL INTELLIGENCE CONTROLLER THAT PROCEDURALLY TAILORS ITSELF TO AN APPLICATION
Organization Name
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 18390452 titled 'ARTIFICIAL INTELLIGENCE CONTROLLER THAT PROCEDURALLY TAILORS ITSELF TO AN APPLICATION
Simplified Explanation
The method involves receiving communication from a device at an artificial intelligence controller, interpreting state information for a software application component, selecting an artificial intelligence algorithm based on the interpreted information, and transmitting the selected algorithm back to the device.
Key Features and Innovation
- Receiving communication from a device with state information for a software application component.
- Interpreting the state information using an artificial intelligence controller.
- Selecting an artificial intelligence algorithm from a variety of options based on the interpreted state information.
- Transmitting the selected algorithm 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 where intelligent algorithms can optimize processes and decision-making.
Problems Solved
This method streamlines the process of selecting the most suitable artificial intelligence algorithm for a given software application component, saving time and improving efficiency.
Benefits
- Enhanced decision-making capabilities for software applications.
- Improved performance and optimization of processes.
- Streamlined algorithm selection process.
Commercial Applications
- Healthcare: Optimizing patient care and treatment plans.
- Finance: Enhancing investment strategies and risk management.
- Manufacturing: Improving production efficiency and quality control.
Prior Art
There may be prior art related to the use of artificial intelligence algorithms in software applications, but this specific method of selecting algorithms based on interpreted state information may be novel.
Frequently Updated Research
Research on the effectiveness of different artificial intelligence algorithms in various applications is continuously evolving, with new advancements and insights being published regularly.
Questions about Artificial Intelligence Algorithm Selection
Question 1
How does the artificial intelligence controller interpret the state information provided by the device?
The artificial intelligence controller uses advanced algorithms to analyze the state information and determine the most suitable artificial intelligence algorithm for the software application component.
Question 2
What are the potential implications of using the selected artificial intelligence algorithm in the software application component?
The selected artificial intelligence algorithm can significantly impact the performance and efficiency of the software application, leading to improved decision-making and overall effectiveness.
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.
