Ankit B Patel

Title: Ankit B Patel: Innovator in Neural Network Specifications

Introduction

Ankit B Patel is a notable inventor based in Houston, TX (US). He has made significant contributions to the field of neural networks, particularly through his innovative patent. His work focuses on automating the compilation of probabilistic task descriptions into executable neural network specifications.

Latest Patents

Ankit B Patel holds a patent titled "Automated compilation of probabilistic task description into executable neural network specification." This patent describes a mechanism for compiling a generative description of an inference task into a neural network. The process begins with specifying an arbitrary generative probabilistic model from the exponential family, which characterizes a conditional probability distribution for measurement data given a set of latent variables. A factor graph is generated for the model, and each factor node is expanded into a sequence of arithmetic operations based on a specified inference task and a message passing algorithm. The resulting factor graph and sequences of arithmetic operations define the structure of a neural network designed to perform the inference task. A learning algorithm is then executed to determine the values of the neural network's parameters, making it ready for operational measurements.

Career Highlights

Ankit B Patel is affiliated with William Marsh Rice University, where he continues to advance his research and development in neural networks. His work has garnered attention for its innovative approach to automating complex tasks in machine learning.

Collaborations

Ankit collaborates with Richard G Baraniuk, a fellow researcher, to further explore advancements in neural network technologies.

Conclusion

Ankit B Patel's contributions to the field of neural networks through his patent demonstrate his innovative spirit and commitment to advancing technology. His work is paving the way for more efficient and effective machine learning applications.