Bengaluru, India

Rishabh Raj Jha

USPTO Granted Patents = 1 

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Rishabh Raj Jha: Innovator in Deep Neural Networks for IoT

Introduction

Rishabh Raj Jha is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of technology, particularly in the execution of deep neural networks within Internet of Things (IoT) edge networks. His innovative approach has garnered attention in the tech community.

Latest Patents

Rishabh holds a patent for a "Method and device for execution of deep neural network in IoT edge network." This invention provides a method and device for executing deep neural networks in an IoT edge network. The process involves selecting at least one edge device within communication range of an IoT device. A network is identified to connect the IoT device with the selected edge device. A split ratio is determined based on the inference time of the deep neural network and the transmission time required for transmitting the output of each layer from the IoT device to the edge device. The layers of the deep neural network are then split into two parts based on this ratio, allowing for efficient execution on both the IoT device and the edge device.

Career Highlights

Rishabh is currently employed at Samsung Electronics Co., Ltd., where he continues to innovate and develop cutting-edge technologies. His work focuses on enhancing the capabilities of IoT devices through advanced neural network applications.

Collaborations

Rishabh collaborates with talented individuals such as Jyotirmoy Karjee and Kartik Anand, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Rishabh Raj Jha is a notable inventor whose work in deep neural networks for IoT edge networks exemplifies the intersection of technology and innovation. His contributions are paving the way for advancements in the field, making a significant impact on the future of IoT technology.

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