Princeton, NJ, United States of America

Eric Blow

This inventor holds 1 USPTO granted patent. Top assignees: Princeton University, Universal Display Corporation. Active years: 2026.


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Eric Blow - Innovator in Light-Emitting Diode Neurons

Introduction

Eric Blow is an accomplished inventor based in Princeton, NJ (US). He is known for his innovative contributions to the field of artificial neurons, particularly through his patent on light-emitting diode neurons. His work has the potential to advance processing devices that utilize optical connections for enhanced performance.

Latest Patents

Eric Blow holds a patent for a processing device that comprises a plurality of artificial neurons. This device includes first and second artificial neurons, with at least one optical connection between them. The optical input of the second artificial neuron features a photosensitive element and a weighting element that modifies the gain of the optical input. Additionally, there is a nonlinear element that activates the optical output when a signal exceeds a certain threshold. This invention, which includes at least one thin film light-generating component, represents a significant advancement in the field of artificial intelligence and optical processing.

Career Highlights

Throughout his career, Eric has worked with prestigious organizations, including Princeton University and Universal Display Corporation. His experience in these institutions has allowed him to collaborate with leading experts in the field and contribute to groundbreaking research and development.

Collaborations

Eric Blow has collaborated with Simon Bilodeau, a fellow innovator in the field. Their partnership has likely fostered the exchange of ideas and advancements in technology.

Conclusion

Eric Blow's contributions to the field of light-emitting diode neurons exemplify the innovative spirit of modern inventors. His work not only enhances our understanding of artificial neurons but also paves the way for future advancements in optical processing technologies.

Profile summary based on public USPTO records.
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