Suzuki; Larissa Cristina Dos Santos Romualdo

Patent Applications and Registrations

Patent applications and USPTO patent grants for Suzuki; Larissa Cristina Dos Santos Romualdo.The latest application filed is for "techniques for the safe serialization of the prediction pipeline".

Company Profile

9.1.9

Suzuki; Larissa Cristina Dos Santos Romualdo - Wokingham GB

*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.

Patent Activity

Patent	Date
Techniques for integrating segments of code into machine-learning model Grant 11,238,377 - Polleri , et al. February 1, 2	2022-02-01
Techniques For The Automated Customization And Deployment Of A Machine Learning Application App 20210081720 - Polleri; Alberto ; et al.	2021-03-18
Techniques For Automated Self-adjusting Corporation-wide Feature Discovery And Integration App 20210081377 - Polleri; Alberto ; et al.	2021-03-18
Techniques For Integrating Segments Of Code Into Machine-learning Model App 20210081196 - Polleri; Alberto ; et al.	2021-03-18
Chatbot For Defining A Machine Learning (ml) Solution App 20210081819 - Polleri; Alberto ; et al.	2021-03-18
Techniques For Adaptive And Context-aware Automated Service Composition For Machine Learning (ml) App 20210081836 - Polleri; Alberto ; et al.	2021-03-18
Techniques For Adaptive Pipelining Composition For Machine Learning (ml) App 20210081848 - Polleri; Alberto ; et al.	2021-03-18
Techniques For Service Execution And Monitoring For Run-time Service Composition App 20210081842 - Polleri; Alberto ; et al.	2021-03-18
Machine Learning (ml) Infrastructure Techniques App 20210081837 - Polleri; Alberto ; et al.	2021-03-18
Techniques For The Safe Serialization Of The Prediction Pipeline App 20210083855 - Polleri; Alberto ; et al.	2021-03-18

uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.

While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.

All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.