Location History:
- Palo Alto, CA (US) (2016 - 2023)
- Los Altos, CA (US) (2022 - 2023)
Company Filing History:
Years Active: 2016-2025
Title: Rehan Hameed: Innovator in Deep Learning Technologies
Introduction
Rehan Hameed is a notable inventor based in Palo Alto, California, recognized for his significant contributions to the field of deep learning. With a total of 9 patents to his name, Hameed's innovations are pivotal in enhancing the capabilities of processing technologies in artificial intelligence.
Latest Patents
Among his latest patents, Hameed has developed a Deep Vision Processor, which features a processor specifically designed for deep learning applications. This innovative processor includes a load and store unit for managing image pixel data, a banked register file, and multiple arithmetic logic units that can perform operations on image pixel values concurrently.
Another significant invention is the Method for Automatic Hybrid Quantization of Deep Artificial Neural Networks. This method focuses on optimizing floating-point layers by calculating input and output activations while converting them to low-bit-width layers. It ensures accuracy by evaluating and adjusting layers based on a loss-of-accuracy threshold, demonstrating Hameed's deep understanding of neural network efficiency.
Career Highlights
Rehan Hameed has had a distinguished career, working with reputed organizations such as Deep Vision, Inc., and Leland Stanford Junior University. His work in these institutions has allowed him to push the boundaries of technology in deep learning and artificial intelligence.
Collaborations
Throughout his career, Hameed has collaborated with notable professionals, including Wajahat Qadeer and Satyanarayana Raju Uppalapati. These partnerships have contributed to the depth and breadth of his innovative projects, reflecting a collaborative spirit in advancing technology.
Conclusion
Rehan Hameed stands out as a prominent inventor in the field of deep learning technologies. His impressive portfolio of patents and collaborations illustrates his commitment to driving innovation. With his contributions, he continues to shape the future of artificial intelligence and deep learning processing.