Redwood City, CA, United States of America

Daniel Finchelstein

This inventor holds 38 USPTO granted patents and 4 published patent applications, primarily in Image Processing. Top assignees: Google Inc., Nvidia Corporation. Active years: 2016-2024.

USPTO Granted Patents = 38 

% Patents Active = 100.0

Average Co-Inventor Count = 5.8

ph-index = 6

Forward Citations = 90(Granted Patents)


Company Filing History:


Years Active: 2016-2024

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Areas of Expertise:
Convolutional Neural Network
Image Processor
Programmable Architecture
Line Buffer Unit
Two Dimensional Shift Array
Energy Efficient Processor
Block Operations
Virtual Linebuffers
Statistics Operations
Compiler Techniques
High Performance Processing
38 patents (USPTO):Explore Patents

Title: Innovations and Contributions of Daniel Finchelstein

Introduction

Daniel Finchelstein, based in Redwood City, California, is a prominent inventor with an impressive portfolio of 38 patents. His expertise lies in advanced image processing technologies, particularly in the realm of convolutional neural networks and programmable image processors. Finchelstein's work has significantly impacted the fields of artificial intelligence and computer vision.

Latest Patents

Among his latest patents, two stand out for their innovative approaches to image processing:

1. **Convolutional Neural Network on Programmable Two Dimensional Image Processor**: This patent describes a method for executing a convolutional neural network layer on an image processor equipped with an array of execution lanes and a two-dimensional shift register. The process involves loading image data into the shift register and performing a two-dimensional convolution with an array of coefficients, enhancing efficiency in image data processing.

2. **Configurable and Programmable Image Processor Unit**: This patent outlines the design of an image processor unit that includes multiple inputs and outputs for handling image data. It features a network that routes input images to an image processor circuit, enabling the execution of image signal processing program code to generate processed output images.

Career Highlights

Finchelstein has contributed his talents to several leading technology companies, including Google Inc. and Nvidia Corporation. His work at these organizations has paved the way for groundbreaking advancements in image processing and artificial intelligence applications.

Collaborations

Throughout his career, Finchelstein has collaborated with notable professionals, including Albert Meixner and Ofer Shacham. These partnerships have fostered innovative research and development, further solidifying his reputation within the tech industry.

Conclusion

Daniel Finchelstein’s contributions to the fields of image processing and artificial intelligence illustrate the power of innovation. With a substantial patent portfolio and collaborations with industry leaders, he continues to shape the technological landscape with his visionary work.

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