Bengaluru, India

Naveen K Mellempudi

This inventor holds 41 USPTO granted patents and 23 published patent applications and 8 EPO patents, primarily in Deep Learning Optimization. Top assignee: Intel Corporation. Active years: 2018-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Naveen K Mellempudi. Retrieved from https://idiyas.com/inventor/naveen-k-mellempudi

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 41 

% Patents Active = 95.1

 

Average Co-Inventor Count = 4.8

ph-index = 5

Forward Citations = 59(Granted Patents)


Company Filing History:


Years Active: 2018-2026

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Areas of Expertise:
Dynamic Precision Management
8-Bit Floating Point
Machine Learning Operations
Systolic Arrays
Fused Multiply-Add
Incremental Precision Networks
Tensor Scaling
Power Management
Computing Architecture
Structured Sparsity
Deep Neural Networks
Floating Point Instructions
41 patents (USPTO):Explore Patents

Title: The Innovative Journey of Naveen K Mellempudi

Introduction

Naveen K Mellempudi is a distinguished inventor based in Bengaluru, India, recognized for his substantial contributions to the field of computing and artificial intelligence. With a remarkable portfolio of 29 patents, Naveen has made significant advancements that enhance the efficiency and capability of modern processor architectures.

Latest Patents

Among his latest inventions is a patent titled “Supporting 8-bit floating point format operands in a computing architecture.” This innovative apparatus includes a processor with a decoder that interprets matrix instructions to operate on 8-bit floating point operands, enabling the processor to perform parallel dot product operations. The design incorporates a controller for scheduling decoded instructions while providing input data in line with the 8-bit floating data format. Additionally, the systolic dot product circuitry executes these instructions through interconnected multipliers, shifters, and adders, thereby optimizing processing efficiency.

Another notable patent is focused on “Incremental precision networks using residual inference and fine-grain quantization.” This invention involves a computer-readable medium that guides processors to determine per-layer scale factors for tensor data in neural network models. By converting floating point data into an 8-bit datatype, this innovation not only streamlines data processing but also enhances the performance of neural networks, contributing to advancements in artificial intelligence.

Career Highlights

Naveen has built his impressive career at Intel Corporation, a leading global technology company renowned for its cutting-edge innovations in silicon and computing technologies. His work largely focuses on enhancing computing architectures and optimizing performance through innovative design and functionality.

Collaborations

Throughout his career, Naveen has collaborated with several talented individuals, including Dipankar Das and Dheevatsa Mudigere. These partnerships have fostered an environment of innovation, leading to the development of groundbreaking technologies that push the boundaries of computing systems.

Conclusion

Naveen K Mellempudi's journey as an inventor represents a significant contribution to the fields of computer engineering and artificial intelligence. With a portfolio that continues to grow, his latest patents are testament to his ingenuity and commitment to advancing technology. As innovations in computing continue to evolve, Naveen's work will undoubtedly play a pivotal role in shaping the future landscape of this dynamic field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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