Providence, RI, United States of America

Hokchhay Tann

USPTO Granted Patents = 4 

Average Co-Inventor Count = 5.5

ph-index = 2

Forward Citations = 8(Granted Patents)


Location History:

  • Providence, RI (US) (2021)
  • North Reading, MA (US) (2022 - 2023)

Company Filing History:


Years Active: 2021-2023

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4 patents (USPTO):Explore Patents

Title: Innovations of Hokchhay Tann

Introduction

Hokchhay Tann is an accomplished inventor based in Providence, RI (US). He has made significant contributions to the field of chemical computation and neural networks. With a total of 4 patents, Tann's work showcases his innovative approach to complex scientific problems.

Latest Patents

One of Tann's latest patents is focused on methods of chemical computation. This invention provides methods for computing with chemicals by encoding digital data into a plurality of chemicals to obtain a dataset. It involves translating the dataset into a chemical form, reading the dataset, querying it by performing operations to obtain a perceptron, and analyzing the perceptron to identify chemical structures and concentrations. This work aims to develop a chemical computational language and demonstrates a workflow for representing abstract data in synthetic metabolomes. Additionally, Tann has presented several demonstrations of kilobyte-scale image data sets stored in synthetic metabolomes, which were recovered with over 99% accuracy.

Another notable patent is related to deep neural networks. This hardware neural network system includes an input buffer for input neurons, an output buffer for output neurons, and a third buffer for synaptic weights connected to a Neural Functional Unit (NFU). The NFU pipelines computations into stages, which include weight blocks, an adder tree, and a non-linearity function. This innovative design enhances the efficiency of neural computations.

Career Highlights

Hokchhay Tann is affiliated with Brown University, where he continues to push the boundaries of research and innovation. His work has garnered attention in the scientific community, contributing to advancements in both chemical computation and neural network technologies.

Collaborations

Tann collaborates with esteemed colleagues such as Sherief Reda and Brenda Rubenstein. Their combined expertise fosters a dynamic research environment that encourages groundbreaking discoveries.

Conclusion

Hokchhay Tann's contributions to the fields of chemical computation and neural networks exemplify the spirit of innovation. His patents reflect a commitment to advancing technology and enhancing our understanding of complex systems.

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