Company Filing History:
Years Active: 2025
Title: Thomas William Moncreaff: Innovator in Machine Learning for Non-Monetary Donations
Introduction
Thomas William Moncreaff is an accomplished inventor based in Emsworth, GB. He has made significant contributions to the field of machine learning, particularly in the classification of non-monetary donations. His innovative approach leverages advanced algorithms to enhance the efficiency and accuracy of donation classification.
Latest Patents
Moncreaff holds a patent for a method that classifies non-monetary donations based on machine learning. The patent outlines a process that involves training a machine learning model with input neurons arranged in an input layer. Each input neuron is designed to input a value of a donation parameter. The model includes at least one hidden layer with multiple hidden neurons that calculate hidden layer values based on input values and associated weights. The method also emphasizes reducing the number of input parameters and hidden neurons by ranking the weights related to them. This innovative classification method aims to streamline the donation process and improve overall effectiveness.
Career Highlights
Moncreaff is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to collaborate with leading experts in the field, further enhancing his contributions to technology and innovation.
Collaborations
Some of his notable coworkers include Thorsten Muehge and Erik Rueger. Their collaboration has fostered an environment of innovation and creativity, leading to advancements in machine learning applications.
Conclusion
Thomas William Moncreaff's work in machine learning for classifying non-monetary donations showcases his innovative spirit and dedication to improving technology. His contributions are paving the way for more efficient donation processes in various sectors.