Company Filing History:
Years Active: 2022
Title: Innovator Spotlight: Sruthikesh Surineni
Introduction: Sruthikesh Surineni, an inventive mind based in San Diego, California, has made significant contributions to the field of deep learning and neural networks. His innovative approach to technology has led him to secure a patent that advances the capabilities of convolutional networks.
Latest Patents: Sruthikesh holds a patent for "Depth-first convolution in deep neural networks." This patent describes a depth-first deep convolutional network (DCN) which includes a first convolutional layer featuring a first first-layer kernel designed to convolve a first input. The network further consists of a second convolutional layer with a first second-layer kernel, tailored to convolve a second-layer input. The innovative method initiates convolution in the first convolution layer of the first input tensor with the first first-layer kernel, generating a value strip for the second input tensor. Notably, prior to the completion of the first convolution layer's task, convolution in the second layer commences, generating a value strip for the third layer.
Career Highlights: Currently employed at Qualcomm Incorporated, Sruthikesh has made notable strides in the domain of deep learning. His work focuses on enhancing computational efficiency and performance in neural networks, contributing to Qualcomm's advancement in technology.
Collaborations: Throughout his career, Sruthikesh has collaborated with esteemed professionals in the field, including Rexford Alan Hill and Adrienne Milner. These collaborations have further enriched his experience and fostered innovation in his projects.
Conclusion: Sruthikesh Surineni exemplifies the spirit of innovation through his dedicated work at Qualcomm Incorporated. His patent on depth-first convolution in deep neural networks stands as a testament to his creativity and technical acumen. As technology continues to evolve, Sruthikesh's contributions will undoubtedly play a pivotal role in shaping the future of deep learning and artificial intelligence.