This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Innovations by Tao Lu in Computing Resource Allocation
Introduction
Tao Lu is an accomplished inventor based in Kirkland, WA (US). He has made significant contributions to the field of computing through his innovative patent. His work focuses on enhancing the efficiency of computing resource allocation by utilizing predictive models.
Latest Patents
Tao Lu holds a patent titled "Prefetching and/or computing resource allocation based on predicting classification labels with temporal data." This patent describes methods, systems, and computer program products that facilitate prefetching information and allocating computing resources based on the prediction of classification labels with temporal data. A trained temporal classification model forecasts events by predicting classification labels that indicate whether events will occur or the number of occurrences during future time intervals. The patent transforms time-series datasets into temporal classification datasets, allowing for improved decision-making regarding prefetching information and resource allocation.
Career Highlights
Tao Lu is currently associated with Microsoft Technology Licensing, LLC, where he applies his expertise in developing innovative solutions. His work has contributed to advancements in the field of computing, particularly in resource management and predictive analytics.
Collaborations
Tao Lu has collaborated with notable colleagues, including Joao Celestino Leite Pinheiro De Paiva and Sayed Hassan Abdelaziz. These collaborations have further enriched his work and contributed to the development of innovative technologies.
Conclusion
Tao Lu's contributions to computing through his patent demonstrate his commitment to innovation and efficiency in resource allocation. His work continues to influence the field and pave the way for future advancements.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
