Share Your Science: Accelerating Microsoft Cortana and Skype Translator

Alexey Kamenev, Software Engineer at Microsoft Research talks about their open-source Computational Network Toolkit (CNTK) for deep learning, which describes neural networks as a series of computational steps via a directed graph. Kamenev also shares a bit about how they’re using GPUs, the CUDA Toolkit and GPU-accelerated libraries for the variety of Microsoft products that benefit from deep learning, such as speech recognition for Skype Translator and Cortana.

“Basically, right now the whole world of deep learning is using GPUs and Microsoft is not an exception,” said Alexey.

Watch Alexey’s presentation about CNTK in the NVIDIA GPU Technology Theater at SC15: Watch Now

 

Share your GPU-accelerated science with us at http://nvda.ly/Vpjxr

Watch more scientists and researchers share how accelerated computing is #thepathforward: Watch Now

About Brad Nemire

Brad Nemire
Brad Nemire is on the Developer Marketing team and loves reading about all of the fascinating research being done by developers using NVIDIA GPUs. Reach out to Brad on Twitter @BradNemire and let him know how you’re using GPUs to accelerate your research. Brad graduated from San Diego State University and currently resides in San Jose, CA. Follow @BradNemire on Twitter