A business / market opportunity assessment for hardware concepts & device designs for deep learning (DL)

我们正在开发计算硬件概念和设计，提供比现有的用于深度学习(DL)的商用硬件快两到三个数量级的数据处理能力和更高的能效。我们的技术提高了下行链路的复杂性，使得以目前不可能实现的方式部署下行链路变得可行。我们的目标是可扩展的硬件，可以为各种设备和应用量身定做。好处是：1)在桌面/数据中心，我们将通过部署更大和更复杂的DL网络以及以更快的速度处理更多输入数据来实现DL的进一步创新和完善；2)对于移动或嵌入式应用，我们将允许i)部署更复杂和准确的DL网络，ii)大幅降低能耗，从而改善移动设备的正常运行时间，以及iii)降低电力需求，使系统在各种情况下(例如，自动驾驶车辆、个人助理、我们的设计新颖而独特，已被证明比迄今提出的同类最佳硬件设计和商业解决方案的性能高出2至3个数量级。无论是高端台式机/服务器市场，还是嵌入式/移动/物联网领域，我们的设计都能支持下一代数字图书馆解决方案。这是一份申请I2I市场评估拨款的申请，目的是接触现场和潜在客户，以便适当地确定适当的应用，从而确定配置，作为我们创新技术成功商业化的第一步。

We are developing computing hardware concepts and designs that deliver two to three orders of magnitude faster data processing capability and better energy efficiency than existing commodity hardware for Deep Learning (DL). Our techniques enable an increase in DL sophistication making it practical to deploy DL in ways not currently possible. We target scalable hardware that can be tailored to various devices and applications. The benefits are: 1) at the desktop/data-center, we will enable further innovation and sophistication in DL by enabling the deployment of larger and more sophisticated DL networks and the processing of more input data and at faster speeds, 2) for mobile or embedded applications, we will allow i) the deployment of more sophisticated and accurate DL networks, ii) a drastic reduction in energy consumption and thus improvement in up-time for mobile devices, and iii) a reduction in power needs making the system more portable and usable in a variety of scenarios (e.g., autonomous vehicles, personal assists, etc.).Our designs are novel and unique and have been shown to outperform the best in class hardware designs proposed thus far and commercially available solutions by 2 to 3 orders of magnitude. Our designs canenable the next generation of DL solutions be it for the high-end desktop/server market or the embedded/mobile/IoT space. This is an application for an I2I Market Assessment grant to reach out to the field and potential customers in order to appropriately identify appropriate applications and thus the configurations that should be targeted as a first step toward successful commercialization of our innovative technology.