Company Filing History:
Years Active: 2019-2025
Title: Innovations of Satyananda Kashyap
Introduction
Satyananda Kashyap is a prominent inventor based in San Jose, California. He has made significant contributions to the field of deep learning and neural networks. With a total of seven patents to his name, his work focuses on enhancing the efficiency and effectiveness of machine learning models.
Latest Patents
Kashyap's latest patents include groundbreaking methods in transfer learning. One notable patent is titled "Transfer learning with basis scaling and pruning." This method involves obtaining a pre-trained deep convolutional neural network (DCNN) and decomposing each weight matrix of the DCNN. It also includes decomposing each convolutional layer by applying the respective decomposed weight matrix to form new layers for convolution. Another significant patent is "Channel scaling: a scale-and-select approach for selective transfer learning." This invention introduces channel-scaling layers in a deep neural network, allowing for the training of scaling weights and the removal of channels with lower scaling weights, ultimately leading to a more efficient deep neural network.
Career Highlights
Satyananda Kashyap is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore innovative solutions in the realm of artificial intelligence and machine learning. His contributions have been instrumental in advancing the capabilities of deep learning technologies.
Collaborations
Kashyap has collaborated with notable colleagues such as Mehdi Moradi and Tanveer Fathima Syeda-Mahmood. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies.
Conclusion
Satyananda Kashyap's work in the field of deep learning and neural networks showcases his innovative spirit and dedication to advancing technology. His patents reflect a commitment to improving machine learning processes, making him a significant figure in the industry.
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