Austin, TX, United States of America

Brian Gaide


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2010

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1 patent (USPTO):Explore Patents

Title: **Innovator Spotlight: Brian Gaide**

Introduction

Brian Gaide, an accomplished inventor based in Austin, TX, has made significant strides in the realm of electrical engineering. His innovative contributions have been instrumental in advancing programmable circuits, particularly through his notable patent focused on improving computational efficiency.

Latest Patents

Brian holds a patent for a "Fast-carry arithmetic circuit using a multi-input look-up table." This invention proposes a method for implementing various functions, including multi-bit adders, utilizing look-up table (LUT) circuits as foundational components. The efficient generation of carry-out and fast-carry generation signals by leveraging available SRAM cells enhances the design by reducing or entirely eliminating area-inefficient look-ahead carry logic. This improvement is crucial as it contributes to faster signal generation with minimal delay.

Career Highlights

Brian is currently employed at Lattice Semiconductor Corporation, a prominent player in the semiconductor industry. His role involves utilizing his expertise to innovate and improve technologies that encapsulate his patented designs, thus fostering advancements in programmable logic devices.

Collaborations

Throughout his career, Brian has worked alongside esteemed colleagues, including Xiaojie He. Their collaboration within Lattice Semiconductor Corporation aims to push the boundaries of technology, focusing on developing efficient and cutting-edge solutions for various applications.

Conclusion

Brian Gaide’s inventive prowess, demonstrated through his patent and work at Lattice Semiconductor Corporation, showcases his dedication to enhancing technology in the field of programmable circuits. His innovations not only contribute to the scientific community but also pave the way for future advancements in fast computation techniques.

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