Company Filing History:
Years Active: 2022
Title: Innovations by David Wehr
Introduction
David Wehr is an accomplished inventor based in Sigourney, Iowa. He has made significant contributions to the field of computer science, particularly in the area of source code analysis and representation. With a total of 2 patents, his work focuses on enhancing the understanding and detection of errors in source code through innovative methods.
Latest Patents
David Wehr's latest patents include groundbreaking technologies that represent source code in vector space to detect errors. This computer-implemented method involves parsing source code into an abstract syntax tree, which is then traversed to produce a sequence of tokens. Token embeddings are constructed for a subset of these tokens and inputted into an encoder artificial neural network. The decoder is initialized with the final internal cell state of the encoder, allowing for effective error detection in the source code.
Another notable patent involves generating vector representations of code that capture semantic similarity. This method collects two training sets of code snippets, one representing semantic similarity and the other representing dissimilarity. A machine learning model generates vector representations of these code snippets, minimizing the loss value to effectively capture semantic relationships.
Career Highlights
David Wehr is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to collaborate with leading experts in the field and contribute to innovative projects that push the boundaries of technology.
Collaborations
Throughout his career, David has worked alongside talented colleagues, including Eleanor Pence and Halley Fede. These collaborations have fostered an environment of creativity and innovation, leading to the development of advanced technologies in software engineering.
Conclusion
David Wehr's contributions to the field of computer science through his patents and work at IBM highlight his dedication to innovation. His methods for representing source code and capturing semantic similarity are paving the way for more efficient error detection and analysis in programming.