CCRI: ABR: 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），将继续和扩展数百个负担得起的图形处理单元（GPU）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。这些研究人员将在该项目中使用专门构建的云来研究从图像和视频识别、计算机视觉、上下文机器人到认知神经科学的一系列问题。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将在该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。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project, called the Cognitive Hardware And Software Ecosystem Community Infrastructure (CHASE-CI), is to continue and expand 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.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.