Aishwarya Agrawal, PhD student at Virginia Tech shares how her team is using NVIDIA GPUs and deep learning to automatically answer a wide range of questions about arbitrary images. According to Agrawal and her collaborators, the system may one day be used by the visually impaired to help navigate real-world environments, such as informing the
NVIDIA is proud to announce the new GeForce GTX 1080. Based on our revolutionary Pascal GPU architecture, this new GPU is designed to enable the next generation of awe inspiring content from game developers. With support for DirectX 12 and Vulkan graphics APIs, these cards are designed to drive display devices beyond 5K including HDR as well as delivering the performance required for truly immersive VR.
With hundreds of millions of customers shopping daily on Amazon, it’s critical they help them discover the right product from their massive catalog of products. Amazon’s Deep Scalable Sparse Tensor Network Engine (DSSTNE or “Destiny”) is a deep learning framework built from the ground up to help researchers develop search and recommendation systems. With multi-GPU
Oak Ridge National Lab, NVIDIA and PGI launched the OpenACC Hackathon initiative last year to help scientists accelerate applications on GPUs. OpenACC was selected as a primary tool since it offers acceleration without significant programming effort and works great with existing application codes. University of Delaware (UDEL) hosted a five-day Hackathon last week. Selected teams