Hardware-Assisted Tournament for AI Solver Selection
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Solution Overview
Problem
The challenge lies in reliably comparing and selecting between different algorithms, such as AI and traditional machine learning solvers, to ensure efficient problem-solving without manual intervention, as inferior solvers may lead to inferior performance and energy waste if not properly evaluated.
Innovation Solution
A hardware-assisted tournament system that includes a controller to admit and compete various solvers, providing input tasks and intermediate results, predicting next results, and ranking solvers based on performance, allowing the most efficient solver to be designated for future processing tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual comparison and selection of solvers is used, then user control over solver selection is maintained, but system efficiency and automation are reduced
Solution Approach 1:
The system automatically compares and selects solvers without requiring manual user intervention. The tournament framework self-manages the evaluation process, automatically admitting solvers, running comparisons, and selecting winners based on predefined criteria, thereby achieving high automation with minimal added complexity
Solution Approach 2:
The system incorporates feedback mechanisms where solver performance is continuously monitored and evaluated. Intermediate results and final outcomes feed back into the selection process, allowing the system to dynamically adjust and learn from performance data to make informed solver selection decisions
2Productivity
If inferior solvers are used without proper evaluation, then system simplicity is maintained, but performance and energy efficiency deteriorate
Solution Approach 1:
The system performs preliminary evaluation and comparison of solvers before they are selected for production use. By pre-testing and ranking solvers on a set of tasks, the system ensures that only high-performance solvers are deployed, preventing energy waste from inferior solvers while maintaining straightforward system operation
Solution Approach 2:
The patent replaces manual mechanical selection processes with automated computational evaluation. The tournament framework uses programmed comparison mechanisms that objectively assess solver performance based on predefined metrics, eliminating subjective human judgment and ensuring optimal solver selection for maximum efficiency
3Measurement precision
If multiple solvers are compared simultaneously, then solver selection accuracy is improved, but computational resources and time are increased
Solution Approach 1:
The comparison process is segmented into manageable phases: solver admission, intermediate result evaluation, and final selection. The tournament framework divides the comparison task into discrete rounds where solvers are evaluated on specific tasks, allowing accurate comparison while managing computational time through structured progression
Solution Approach 2:
The system evaluates solvers on a representative sample of tasks rather than all possible tasks exhaustively. By selecting a strategic subset of evaluation tasks that capture essential solver capabilities, the system achieves accurate comparison results without requiring excessive computational resources or time
Data Source
AI summary
A system and method for providing for adoption of solvers for solving at least one task is disclosed. The system and method include a controller, solvers capable of solving the at least one task, and at least one memory. The controller admits ones of the solvers into a competition for solving the at least one task, provides, via the at least one memory, an input of the task to the admitted solvers, provides, via the at least one memory, intermediate results of execution by the admitted solvers that are provided the input, receives a prediction of the next intermediate result from the admitted solvers predicting from at least one of the provided input and received intermediate results, and ranks the at least one of the admitted solvers for solving the task based on at least one of the next intermediate results, the provided input and received intermediate results.