Deep Force aims to be the platform for Deep Learning on edge devices. Through Deep Force platform, it becomes more straightforward to implement fast, private, secure, cost-effective, and efficient deep learning applications for end devices. The current deep learning applications are mostly cloud-based. However, we can foresee that AI cannot and will not be limited to the cloud-based solution. Distributed solutions relies on edge intelligence through on-device solutions. The on-devices solutions come with various advantages, such as interactive speed, privacy, bandwidth optimization and storage saving.
The core team of Deep Force graduated from MIT, UC Berkeley/LA/Riverside, USC, NTU, THU, with over a decade working experience in Qualcomm, Broadcom, MTK, Spreadtrum, and Disney Research. The core team has the expertise in both the neural network development (software) and chip architecture (hardware.) In the application domain, we pick vision-based applications as our first landing field. We will hire experts from the other fields to expand the platform to serve more fields. With Deep Force platform, it becomes easier for all industries to deliver their deep learning applications on device with high accuracy.