Company Filing History:
Years Active: 2024
Title: Pratyusha Musunuru: Innovator in Neural Network Quantization
Introduction
Pratyusha Musunuru is a talented inventor based in Hyderabad, Telangana, India. She has made significant contributions to the field of machine learning, particularly in the quantization of neural networks. Her innovative approach has the potential to enhance the efficiency and performance of neural network systems.
Latest Patents
Pratyusha holds a patent for a "Method and machine learning system to perform quantization of neural network." This patent describes a system and method for quantizing a neural network with multiple layers. The process begins by receiving a floating-point dataset as the input dataset. It involves determining a first shift constant for the first layer of the neural network based on the input dataset. The method then performs quantization for the first layer using the determined shift constant. Subsequently, it determines a next shift constant for the next layer based on the output of the previous layer and performs quantization for that layer as well. This iterative process continues for all layers of the neural network, ultimately generating a fixed-point dataset as output. Pratyusha's work in this area is groundbreaking and showcases her expertise in machine learning.
Career Highlights
Pratyusha is currently employed at Blaize, Inc., where she continues to develop innovative solutions in the field of artificial intelligence and machine learning. Her work is characterized by a strong focus on improving the efficiency of neural networks, which is crucial for various applications in technology today.
Collaborations
Pratyusha collaborates with her coworker, Deepak Chandra Bijalwan, to further advance their research and development efforts. Their teamwork exemplifies the importance of collaboration in driving innovation in technology.
Conclusion
Pratyusha Musunuru is a remarkable inventor whose contributions to neural network quantization are paving the way for advancements in machine learning. Her patent and ongoing work at Blaize, Inc. highlight her commitment to innovation in this rapidly evolving field.