Goutham Rangu

Title: Goutham Rangu: Innovator in Neural Network Compression

Introduction

Goutham Rangu is a prominent inventor based in Tampere, Finland. He has made significant contributions to the field of neural network compression, holding 2 patents that showcase his innovative approach to technology.

Latest Patents

One of Goutham's latest patents is titled "High-level syntax for priority signaling in neural network compression." This invention discloses apparatuses, methods, and computer programs designed to compress neural networks. The apparatus includes at least one processor and non-transitory memory containing computer program code. This code is configured to receive information from a second device, which includes parameters for compressing a neural network. The compression process is based on these parameters, allowing for efficient neural network management. Additionally, the apparatus can receive a compressed neural network from the second device and further compress it based on the received information.

Another notable patent is "Predictive and residual coding of sparse signals for weight update compression." This invention involves an apparatus that receives a sparse signal and performs residual and predictive coding on it. The apparatus determines whether to transmit the residual or the original signal over a communication channel, enhancing the efficiency of data transmission.

Career Highlights

Goutham Rangu is currently employed at Nokia Technologies Oy, where he continues to develop innovative solutions in the field of technology. His work focuses on enhancing the efficiency of neural networks, which is crucial for various applications in artificial intelligence and machine learning.

Collaborations

Goutham has collaborated with notable colleagues, including Hamed Rezazadegan Tavakoli and Homayun Afrabandpey. These collaborations have contributed to the advancement of their shared goals in technology and innovation.

Conclusion

Goutham Rangu is a distinguished inventor whose work in neural network compression is paving the way for advancements in artificial intelligence. His patents reflect a deep understanding of technology and a commitment to innovation.