CI-New: Cognitive Hardware and Software Ecosystem Community Infrastructure (CHASE-CI)

该项目被称为认知硬件和软件生态系统社区基础设施（CHASE-CI），将建立一个由数百个负担得起的图形处理单元（GPU）组成的云，与各种神经网络机器联网，以促进下一代认知计算的发展。来自10所大学的30名研究人员将通过NSF资助的太平洋研究平台访问该云。这些研究人员将调查一系列问题，从图像和视频识别，计算机视觉，上下文机器人到认知神经科学，使用云在该项目中专门构建。使用大型数据集训练神经网络最好在GPU上进行。缺乏可负担得起的GPU以及无法轻松访问具有嵌入式神经网络的新一代非冯·诺依曼（NvN）机器，阻碍了认知计算的研究。专用云将通过网络提供，以解决这一瓶颈。PI将在这个平台上研究各种深度神经网络，递归神经网络和强化学习算法。

This project, called the Cognitive Hardware And Software Ecosystem Community Infrastructure (CHASE-CI), will build a cloud of hundreds of affordable Graphics Processing Units (GPUs), networked together with a variety of neural network machines to facilitate development of next generation cognitive computing. This cloud will be accessible by 30 researchers assembled from 10 universities via the NSF-funded Pacific Research Platform. These researchers will investigate a range of problems from image and video recognition, computer vision, contextual robotics to cognitive neurosciences using the cloud to be purpose-built in this project. Training of neural network with large data-sets is best performed on GPUs. Lack of availability of affordable GPUs and lack of easy access to the new generation of Non-von Neumann (NvN) machines with embedded neural networks impede research in cognitive computing. The purpose-built cloud will be available over the network to address this bottleneck. PIs will study various Deep Neural Network, Recurrent Neural Network, and Reinforcement Learning Algorithms on this platform.