At NVIDIA’s GPU Technology Conference (GTC) 2016 in San Jose, California the company announced products based on their latest GPU architecture, code-named Pascal. This conference is traditionally attended by some of the leading researchers in GPU-accelerated compute technologies and over the past few years has become increasingly focused on Deep Neural Networks (DNN). DNNs are the latest key to artificial intelligence (AI) and cognitive computing. Incredible strides have been made over the last three years in AI thanks to Graphics Processing Units (GPUs). Companies like Google, Microsoft, IBM, Toyota, Baidu and others are looking at deep neural networks to help solve many of their complex analytical and data-rich problems. NVIDIA is helping these companies  to harness the power of their GPUs to accelerate the deep learning these systems need to do. Thanks to NVIDIA’s early involvement in deep neural networks research and their latest GPU hardware, the company is in the driver’s seat right now when it comes to delivering silicon to accelerate deep neural networks.

from Forbes – Tech http://ift.tt/1oQmBiC
via IFTTT