Company Filing History:
Years Active: 2025
Title: Innovations by Matthew David Haddon
Introduction
Matthew David Haddon is an accomplished inventor based in Bishop's Stortford, GB. He has made significant contributions to the field of technology, particularly in error detection methods for convolutional operations. His innovative approach has led to the development of a patented system that enhances the reliability of convolutional processes.
Latest Patents
Matthew holds a patent for "Error detection in convolutional operations." This invention provides methods and systems for detecting errors during convolutional operations. The process involves obtaining predicted checksum data, which corresponds to input checksum data and kernel checksum data. The convolutional operation is then performed to generate an output feature map. Subsequently, output checksum data is produced, and a comparison is made between the predicted checksum data and the output checksum data. This comparison accounts for partial predicted checksum data, which is configured to correct for a lack of padding during the convolution operation. The partial predicted checksum data corresponds to input checksum data for a subset of values in the input feature map and kernel checksum data for a subset of values in the kernel.
Career Highlights
Matthew is currently employed at Arm Limited, a leading technology company known for its innovative designs and contributions to the semiconductor industry. His work at Arm Limited has allowed him to apply his expertise in convolutional operations and error detection, further advancing the field.
Collaborations
Matthew has collaborated with notable colleagues, including Igor Fedorov and Reiley Jeyapaul. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas.
Conclusion
Matthew David Haddon is a prominent inventor whose work in error detection for convolutional operations has made a significant impact in technology. His contributions continue to influence advancements in the field, showcasing the importance of innovation in modern computing.