This inventor holds 3 USPTO granted patents. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2020-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020-2023
Title: Michael Grant: Innovator in Predictive Technology
Introduction
Michael Grant is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of predictive technology, holding a total of 3 patents. His work focuses on utilizing artificial intelligence and sensor data to enhance forecasting capabilities.
Latest Patents
One of Michael's latest patents is titled "Predicted forecast offset from remote location sensor." This invention involves a computing system designed to execute a predictive program that receives current values for remotely sourced forecasts. The program utilizes an artificial intelligence model trained on time series data to output a predicted forecast offset between the current value and future locally sourced measurements.
Another notable patent is "Predicting microclimate." This method involves receiving sensor data from various types of sensors located in a geographic area. The data is processed to produce a feature vector, which is then used by a neural network to estimate physical characteristics such as leaf wetness, solar radiation, and future soil moisture.
Career Highlights
Michael Grant is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and develop new technologies. His work has positioned him as a key player in the realm of predictive analytics and environmental monitoring.
Collaborations
Michael has collaborated with notable coworkers, including Ranveer Chandra and Peeyush Kumar, who share his passion for advancing technology through innovative solutions.
Conclusion
Michael Grant's contributions to predictive technology demonstrate his commitment to leveraging artificial intelligence for improved forecasting. His patents reflect a deep understanding of environmental data and its applications, making him a valuable asset in the tech industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
