Company Filing History:
Years Active: 2025
Title: Innovations by Hao Wu in Tensor Processing
Introduction
Hao Wu is an accomplished inventor based in Hanzhou, China. He has made significant contributions to the field of artificial intelligence, particularly in the training of artificial neural networks. His innovative approach focuses on improving computational efficiency through the use of reduced precision data formats.
Latest Patents
Hao Wu holds a patent for "Tensor processing using low precision format." This invention introduces computer-implemented techniques aimed at enhancing the training of artificial neural networks by utilizing a reduced precision data format, such as float16. The patent details methods for rescaling tensor values before executing matrix operations to avoid overflow and underflow. The novel data format allows for accurate representation of tensors, ensuring that matrix operations maintain their precision.
Career Highlights
Hao Wu is currently employed at Nvidia Corporation, a leading company in the field of graphics processing and artificial intelligence. His work at Nvidia has positioned him at the forefront of technological advancements in neural network training. His expertise in tensor processing has contributed to the development of more efficient AI systems.
Collaborations
Hao Wu collaborates with notable colleagues, including Boris Ginsburg and Sergei Nikolaev. These partnerships enhance the innovative environment at Nvidia and foster the development of cutting-edge technologies.
Conclusion
Hao Wu's contributions to tensor processing and artificial intelligence exemplify the impact of innovative thinking in technology. His work continues to influence advancements in neural network training and computational efficiency.