This inventor holds 3 USPTO granted patents and 1 EPO patent. Top assignee: Google Inc.. Active years: 2019-2020.
Location History:
- Palo Alto, CA (US) (2019)
- Mountain View, CA (US) (2020)
Company Filing History:
Years Active: 2019-2020
Title: Innovations of Marcello Mathias Herreshoff
Introduction
Marcello Mathias Herreshoff is an accomplished inventor based in Mountain View, CA. He has made significant contributions to the field of machine learning and computational systems. With a total of 3 patents, his work focuses on enhancing the efficiency and effectiveness of machine learning models.
Latest Patents
Herreshoff's latest patents include groundbreaking technologies. One of his notable inventions is related to constructing and processing computational graphs for dynamically structured machine learning models. This patent discloses methods, systems, and apparatus for creating computational graphs that represent these models. The system receives data identifying various operations that can be performed on input data and generates a directed computational graph to facilitate data flow through the model.
Another significant patent involves adaptive channel coding using machine-learned models. This invention provides systems and methods for adaptive training of a channel coding model, which includes an encoder model, a channel model, and a decoder model. The channel model is trained to emulate a communication channel, allowing for improved data transmission and processing.
Career Highlights
Marcello Mathias Herreshoff is currently employed at Google Inc., where he continues to innovate and develop advanced technologies. His work at Google has positioned him as a key player in the field of machine learning and computational systems.
Collaborations
Herreshoff collaborates with talented individuals in his field, including his coworker Jason Holt. Their combined expertise contributes to the advancement of innovative solutions in technology.
Conclusion
Marcello Mathias Herreshoff's contributions to machine learning and computational systems are noteworthy. His patents reflect a commitment to innovation and excellence in technology. His work continues to influence the development of advanced machine learning models and systems.
