Company Filing History:
1 out of 5,257 
1 out of 832,843 Years Active: 2019-2020
Title: The Innovations of Malcolm Grimwood
Introduction
Malcolm Grimwood is a notable inventor based in Bristol, GB. He has made significant contributions to the field of data storage technology, particularly in magnetic tape systems. With a total of 2 patents to his name, Grimwood's work has had a lasting impact on the industry.
Latest Patents
One of Malcolm Grimwood's latest patents involves a method to read from a non-trimming portion of a data track written to magnetic tape. This innovative tape drive includes a magnetic tape head, an actuator, and a controller. The magnetic tape head is equipped with a data write element that writes a data track onto the magnetic tape. The data track consists of both a non-trimming portion and a trimmable portion. Additionally, the magnetic tape head features a data read element that reads the data written to the non-trimming portion to verify its accuracy. The controller positions the magnetic tape head via the actuator, allowing the data write element to write the first data track and the data read element to read the second portion of the first data track. From the read data, a determination can be made regarding whether the data was written to the non-trimming portion with a threshold level of accuracy.
Career Highlights
Throughout his career, Malcolm Grimwood has worked with prominent companies, including Hewlett Packard Enterprise Development LP. His experience in these organizations has contributed to his expertise in data storage technologies and innovations.
Collaborations
Malcolm Grimwood has collaborated with notable professionals in his field, including Carl R. Hoerger and Geoffrey Stiles. These collaborations have further enriched his work and contributed to the development of advanced technologies.
Conclusion
Malcolm Grimwood's contributions to the field of magnetic tape technology demonstrate his innovative spirit and dedication to advancing data storage solutions. His patents reflect a deep understanding of the complexities involved in data accuracy and retrieval.