Today’s advanced deep neural networks use algorithms, big data, and the computational power of the GPU to learn at high speed, accuracy and scale that are driving true artificial intelligence. Deep learning is used by research community and industry to help solve many big data problems such as computer vision, speech recognition, natural language processing etc. This talk will focus on NVIDIA Deep Learning SDK and GPU hardware families that provides full solution to power innovative GPU-accelerated machine learning applications in the cloud, data centers, workstations, and embedded platforms.
Ettikan Kandasamy Karuppiah (Ph.D) Director, Developers Ecosystem at Nvidia, APAC South assisting innovators, researchers and techno-entrepreneurs to accelerate GPU and Deep Learning adaptation for their R&D and software solutioning needs. He has direct experience accelerated computing/software design and development covering end-to-end needs. He also has published numerous publications, patents and software libraries from his past work