Company Filing History:

11 out of 2,367

Yahoo! Inc.

Years Active: 2010-2020

where 'Filed Patents' based on already Granted Patents

13 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 10789544 - Batching inputs to a machine learning model (2020-09-29),

2. 10417439 - Post-hoc management of datasets (2019-09-17),

3. 8965842 - Virtual environment spanning desktop and cloud (2015-02-24),

4. 8949834 - Modeling and scheduling asynchronous incremental workflows (2015-02-03),

5. 8838527 - Virtual environment spanning desktop and cloud (2014-09-16),

6. 8745183 - System and method for adaptively refreshing a web page (2014-06-03),

7. 8732160 - Exploring large textual data sets via interactive aggregation (2014-05-20),

8. 8312011 - System and method for automatic detection of needy queries (2012-11-13),

9. 7991769 - System and method for budgeted generalization search in hierarchies (2011-08-02),

10. 7970760 - System and method for automatic detection of needy queries (2011-06-28),

11. 7921416 - Formal language and translator for parallel processing of data (2011-04-05),

12. 7899807 - System and method for crawl ordering by search impact (2011-03-01),

13. 7805447 - Generating example data for testing database queries (2010-09-28),

Title: Christopher Olston: Innovator in Machine Learning Technologies

Introduction

Christopher Olston, a prolific inventor based in Mountain View, California, has made significant contributions to the field of machine learning. With a remarkable portfolio of 13 patents, Olston has demonstrated a consistent commitment to innovation and advancing technology.

Latest Patents

One of Olston's latest patents focuses on "Batching Inputs to a Machine Learning Model." This invention outlines a sophisticated method for processing inputs in an efficient manner. The system includes receiving a stream of requests that identify respective inputs for a first machine learning model. It also details how inputs are added to a queue, and when the count of inputs reaches a maximum batch size, a batched input is generated for processing.

Additionally, another notable patent is related to "Post-Hoc Management of Datasets." This invention offers methods and systems for generating a catalog of multiple datasets. The process involves accessing various datasets, organizing them into collections, and determining metadata that describes the datasets. This patent showcases Olston's dedication to improving data management practices.

Career Highlights

Throughout his career, Christopher Olston has worked with some of the tech industry's leading companies, including Yahoo! Inc. and Google Inc. These experiences have undoubtedly shaped his expertise and fueled his passion for innovation in machine learning and data management.

Collaborations

Olston has collaborated with prominent professionals in the field, including Sandeep Pandey and Marcus Felipe Fontoura. These partnerships reflect his ability to work effectively within teams to achieve groundbreaking technological advancements.

Conclusion

Christopher Olston's contributions to machine learning and data management highlight his status as a leading inventor in the tech industry. With his continued focus on developing innovative solutions, he remains an influential figure in shaping the future of technology.

This text is generated by artificial intelligence and may not be accurate.

Please report any incorrect information to support@idiyas.com

1 patent pending (EPO):

Please report any incorrect information to support@idiyas.com

Inventor’s Patent Attorneys refers to legal professionals with specialized expertise in representing inventors throughout the patent process. These attorneys assist inventors in navigating the complexities of patent law, including filing patent applications, conducting patent searches, and protecting intellectual property rights. They play a crucial role in helping inventors secure patents for their innovative creations.