18529387. Systems and Methods for Synthesizing Code from Input and Output Examples simplified abstract (Google LLC)
Contents
Systems and Methods for Synthesizing Code from Input and Output Examples
Organization Name
Inventor(s)
Kensen Shi of Palo Alto CA (US)
Rishabh Singh of San Jose CA (US)
David J. Bieber of New York NY (US)
Systems and Methods for Synthesizing Code from Input and Output Examples - A simplified explanation of the abstract
This abstract first appeared for US patent application 18529387 titled 'Systems and Methods for Synthesizing Code from Input and Output Examples
The present disclosure provides systems and methods for synthesizing computer-readable code based on input and output examples.
- A computing system can receive input and output examples, access a library of operations, and search for operations that can be applied to the input.
- By applying the operations to the input and tracking the results, the system can identify an expression that generates the output.
- This technology can be used to identify solutions for generating output from input using a library of operations.
Potential Applications: - Automated code generation - Machine learning model development - Data processing and analysis
Problems Solved: - Streamlining code development process - Enhancing efficiency in programming tasks
Benefits: - Faster development of code - Improved accuracy in generating code - Reduction in manual coding efforts
Commercial Applications: Title: Automated Code Generation Technology for Software Development This technology can be utilized by software development companies to automate code generation processes, leading to faster development cycles and increased productivity in creating software applications.
Prior Art: Researchers in the field of artificial intelligence and machine learning have explored similar techniques for automating code generation based on input-output examples.
Frequently Updated Research: Stay updated on advancements in machine learning algorithms for code generation and optimization techniques for enhancing the efficiency of the process.
Questions about Automated Code Generation Technology: 1. How does this technology compare to traditional manual coding methods? - Automated code generation technology offers a more efficient and accurate way to generate code compared to manual coding, saving time and reducing errors in the development process.
2. What are the potential limitations of using automated code generation systems? - Automated code generation systems may face challenges in handling complex logic and edge cases that require human intervention for accurate implementation.
Original Abstract Submitted
The present disclosure provides systems and methods for synthesizing computer-readable code based on the receipt of input and output examples. A computing system in accordance with the disclosure can be configured to receive a given input and output, access and library of operations, and perform a search of a library of operations (e.g., transpose, slice, norm, etc.) that can be applied to the input. By applying the operations to the input and tracking the results, the computing system may identify an expression comprising one or a combination of operations that when applied to the input generates the output. In this manner, implementations of the disclosure may be used to identify one or more solutions that a user having access to the library of operations may use to generate the output from the input.
