Peter Nicholas Pritchard

Title: Innovations of Peter Nicholas Pritchard

Introduction

Peter Nicholas Pritchard is a notable inventor based in Mountain View, California. He has made significant contributions to the field of technology, particularly in the area of predictive modeling and machine learning. With a total of four patents to his name, Pritchard's work focuses on enhancing the understanding and functionality of complex systems.

Latest Patents

One of Pritchard's latest patents is titled "Computing an explainable event horizon estimate." This patent describes a computer-implemented method for predicting an event horizon. The method involves maintaining condition data that indicates various conditions occurring on physical systems over time. It also includes receiving an input feature vector that represents a specific condition at a given time. Using a trained machine learning model, the method generates a forecast value indicating the time until a particular target condition occurs on a physical system. Based on this forecast, actions can be executed on the system.

Another significant patent is "System and method for explanation of condition predictions in complex systems." This patent outlines a system and methods to identify significant signals for assessing the state of complex machine systems. It addresses the challenges posed by non-linearities and disjoint groupings of condition types. The system allows for sub-grouping of signals related to system sub-components, providing explanations of signal significance to assist in causal analysis and operational feedback.

Career Highlights

Peter Pritchard