Nicolás Rubén Tomatis

Title: Nicolás Rubén Tomatis: Innovator in Image Selection Technology

Introduction

Nicolás Rubén Tomatis is a notable inventor based in Córdoba, Argentina. He has made significant contributions to the field of image selection technology, holding two patents that showcase his innovative approach. His work primarily focuses on utilizing machine learning systems to enhance the selection process of imagery for various applications.

Latest Patents

One of Nicolás's latest patents is titled "Using attributes for identifying imagery for selection." This patent describes a system that includes a computing device with a memory configured to store instructions. The system also features a processor that executes these instructions to perform operations such as receiving data representing an image, which is depicted in the data by a collection of visual elements. Additionally, the operations involve determining whether to select the image for presentation by one or more entities using a machine learning system. This machine learning system is trained using data representing a plurality of training images and attributes regarding image presentation by the entities.

Career Highlights

Throughout his career, Nicolás has worked with several prominent companies, including Social Native, Inc. and Monotype Imaging Inc. His experience in these organizations has allowed him to refine his skills and contribute to advancements in technology related to image processing and selection.

Collaborations

Nicolás has collaborated with talented individuals such as Luis Sanz Arilla and Esteban Del Boca. These partnerships have further enriched his work and fostered innovation in the field.

Conclusion

Nicolás Rubén Tomatis is a distinguished inventor whose work in image selection technology has made a significant impact. His patents reflect a deep understanding of machine learning and its applications in enhancing image presentation. His contributions continue to influence the industry and inspire future innovations.