Company Filing History:
Years Active: 2021-2025
Title: Amir Gholaminejad: Innovator in Neural Network Technologies
Introduction
Amir Gholaminejad is a prominent inventor based in San Jose, California. He has made significant contributions to the field of artificial intelligence and neural networks. With a total of three patents to his name, Gholaminejad is recognized for his innovative approaches to improving computational techniques.
Latest Patents
One of Amir Gholaminejad's latest patents is titled "Dynamic Directional Rounding." This invention discloses a method, computer-readable medium, and system for rounding floating point values. The technique identifies the sign of an operand to determine the direction in which the floating point result is rounded, ensuring that rounding is performed in the direction of the gradient during neural network updates. Another notable patent is "Tensor Processing Using Low Precision Format." This invention focuses on improving the training of artificial neural networks by utilizing a reduced precision data format. It involves rescaling tensor values before matrix operations to prevent overflow and underflow, thereby preserving accuracy throughout the computations.
Career Highlights
Amir Gholaminejad is currently employed at Nvidia Corporation, a leading company in graphics processing and artificial intelligence technologies. His work at Nvidia has allowed him to explore and develop cutting-edge solutions in the realm of neural networks.
Collaborations
Amir collaborates with talented individuals such as Boris Ginsburg and Alex Fit-Florea. Their combined expertise contributes to the advancement of innovative technologies in the field.
Conclusion
Amir Gholaminejad is a key figure in the development of advanced techniques for neural networks. His patents reflect a commitment to enhancing computational methods, making significant strides in artificial intelligence.