17969793. AUTOMATICALLY PREDICTING DEVICE RECYCLING OPPORTUNITIES USING ARTIFICIAL INTELLIGENCE TECHNIQUES simplified abstract (Dell Products L.P.)
Contents
- 1 AUTOMATICALLY PREDICTING DEVICE RECYCLING OPPORTUNITIES USING ARTIFICIAL INTELLIGENCE TECHNIQUES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 AUTOMATICALLY PREDICTING DEVICE RECYCLING OPPORTUNITIES USING ARTIFICIAL INTELLIGENCE TECHNIQUES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
AUTOMATICALLY PREDICTING DEVICE RECYCLING OPPORTUNITIES USING ARTIFICIAL INTELLIGENCE TECHNIQUES
Organization Name
Inventor(s)
David J. Linsey of Marietta GA (US)
Bijan Kumar Mohanty of Austin TX (US)
Hung T. Dinh of Austin TX (US)
AUTOMATICALLY PREDICTING DEVICE RECYCLING OPPORTUNITIES USING ARTIFICIAL INTELLIGENCE TECHNIQUES - A simplified explanation of the abstract
This abstract first appeared for US patent application 17969793 titled 'AUTOMATICALLY PREDICTING DEVICE RECYCLING OPPORTUNITIES USING ARTIFICIAL INTELLIGENCE TECHNIQUES
Simplified Explanation
The patent application describes methods, apparatus, and processor-readable storage media for automatically predicting device recycling opportunities using artificial intelligence techniques.
- Obtaining data associated with one or more devices
- Determining end of life-related information for the devices by processing the obtained data
- Predicting device recycling opportunities for the devices using artificial intelligence techniques
- Performing automated actions based on the predicted recycling opportunities
Potential Applications
This technology could be applied in the electronics industry to streamline the recycling process for devices reaching the end of their lifecycle.
Problems Solved
This technology helps in identifying and maximizing device recycling opportunities, reducing electronic waste and promoting sustainability.
Benefits
The benefits of this technology include efficient recycling processes, reduced environmental impact, and improved resource utilization.
Potential Commercial Applications
A potential commercial application of this technology could be in the development of software tools for electronics manufacturers and recyclers to optimize their recycling operations.
Possible Prior Art
One possible prior art could be existing recycling management systems that may not utilize artificial intelligence techniques for predicting recycling opportunities.
Unanswered Questions
How does the accuracy of the predictions compare to manual assessments in terms of device recycling opportunities?
The accuracy of the predictions compared to manual assessments in terms of device recycling opportunities is not explicitly mentioned in the abstract.
What specific artificial intelligence techniques are utilized in the prediction process?
The specific artificial intelligence techniques utilized in the prediction process are not detailed in the abstract.
Original Abstract Submitted
Methods, apparatus, and processor-readable storage media for automatically predicting device recycling opportunities using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining data associated with one or more devices; determining end of life-related information for the one or more devices by processing at least a portion of the obtained data; predicting at least one device recycling opportunity for at least one of the one or more devices by processing at least a portion of the determined end of life-related information using one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the at least one predicted device recycling opportunity.
