Molly Katherine Newquist

Title: Molly Katherine Newquist: Inventor in Binary Machine Learning

Introduction

Molly Katherine Newquist is an inventor associated with Bloomington, Indiana, and Texas Instruments Corporation. Her patent work concerns machine-learning techniques that use binary operations to process data.

Latest Patents

The provided information identifies one patent associated with Newquist: “Binary Machine Learning Network with Operations Quantized to One Bit.” The invention describes a machine-learning model that combines non-binary input features with bias values, binarizes the resulting values, and applies binary weights in a convolution operation. It then uses additional bias and scale values to normalize feature values and combines those results with the original inputs to produce output features. The approach is designed to carry out neural-network operations using values quantized to one bit. Newquist is credited with 1 patent.

Career Highlights

Newquist’s listed patent reflects work at the intersection of machine learning and efficient computation. The disclosed method uses binary weights and binarized intermediate values while retaining non-binary input features, offering a structured way to perform model operations with reduced numerical precision. The provided information associates her with Texas Instruments Corporation.

Collaborations

Lijun Zhu is identified as a coworker of Newquist. The available information does not specify their roles in the patent or describe the nature of their collaboration.

Conclusion

Molly Katherine Newquist’s listed invention focuses on one-bit operations in machine learning, combining binary computation with normalization and input-feature processing.