Zachary Daniels

Title: Zachary Daniels and Reconfigurable Hyperdimensional Neural Networks

Introduction

Zachary Daniels is an inventor based in Robbinsville, New Jersey, and is associated with SRI International. His patent work concerns a reconfigurable, hyperdimensional neural network architecture for processing and classifying data. The supplied information lists 1 patent.

Latest Patents

Daniels’s listed patent, “Reconfigurable, Hyperdimensional Neural Network Architecture,” describes a method and apparatus for processing data with a feature extractor and a classifier. The feature extractor uses a neural network to encode input information into hyperdimensional vectors and identify a vector representing one or more features. The architecture limits the feature extractor to no more than one multiply-and-accumulate operator, while the classifier performs classification without any such operators. The classifier then produces an indication of the classification.

Career Highlights

The available information associates Daniels with SRI International and identifies his patent contribution in neural network architecture. The described design focuses on representing and classifying information with hyperdimensional vectors while limiting the use of multiply-and-accumulate operations.

Collaborations

The supplied information names David Chao Zhang and Michael Anthony Isnardi as Daniels’s coworkers. It does not specify their roles in the patent or describe particular collaborative work.

Conclusion

Zachary Daniels’s listed invention presents a specialized approach to data processing and classification using a reconfigurable hyperdimensional neural network, with an emphasis on limiting multiply-and-accumulate operations.