IDiyas

For the Inventor, By the Inventor

Georgetown, TX, United States of America

Steven Scott Larson

USPTO Granted Patents = 12

Average Co-Inventor Count = 2.9

ph-index = 5

Forward Citations = 92(Granted Patents)


Company Filing History:

goldMedal12 out of 22,475 
 
Amazon Technologies, Inc.
 patents

Years Active: 2019-2024

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12 patents (USPTO):
1. 11941572 - Machine learning item delivery using sensor data (2024-03-26),
2. 11314635 - Tracking persistent memory usage (2022-04-26),
3. 11048644 - Memory mapping in an access device for non-volatile memory (2021-06-29),
4. 10877911 - Pattern generation using a direct memory access engine (2020-12-29),
5. 10810133 - Address translation and address translation memory for storage class memory (2020-10-20),
6. 10762137 - Page table search engine (2020-09-01),
7. 10754789 - Address translation for storage class memory in a system that includes virtual machines (2020-08-25),
8. 10747679 - Indexing a memory region (2020-08-18),
9. 10642727 - Managing migration events performed by a memory controller (2020-05-05),
10. 10593380 - Performance monitoring for storage-class memory (2020-03-17),
11. 10459662 - Write failure handling for a memory controller to non-volatile memory (2019-10-29),
12. 10185675 - Device with multiple interrupt reporting modes (2019-01-22),

Title: Innovations of Steven Scott Larson

Introduction

Steven Scott Larson is an accomplished inventor based in Georgetown, TX (US). He holds a total of 12 patents, showcasing his expertise in the fields of machine learning and memory technology. His work has significantly contributed to advancements in operational efficiency and driver safety.

Latest Patents

One of Larson's latest patents is titled "Machine learning item delivery using sensor data." This invention involves various embodiments that provide machine learning routines with peripheral device data to infer driver activity and location. By collecting data on a peripheral device with a machine learning routine, the system can improve the estimation of driver location and contextually assist delivery drivers without requiring manual input. This innovation enhances both driver safety and operational efficiency.

Another notable patent is "Tracking persistent memory usage." This patent discloses techniques for monitoring the usage of storage-class memory. The method includes receiving statistics update entries by a memory controller and assembling them into a statistics log entry. This log entry persists in a designated memory region until it is read back through the memory controller, ensuring accurate tracking of memory operations.

Career Highlights

Steven Scott Larson is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions that leverage his expertise in technology. His contributions to the company have been instrumental in enhancing various operational processes.

Collaborations

Larson has collaborated with notable colleagues, including Thomas A. Volpe and Mark Banse. Their combined efforts have led to significant advancements in their respective fields.

Conclusion

Steven Scott Larson's innovative contributions to machine learning and memory technology have made a lasting impact on the industry. His patents reflect a commitment to improving efficiency and safety in technology applications.

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