DARPA: Hyper-Dimensional Data Enabled Neural Networks (HyDDENN
קרן | US Department of Defense |
---|---|
מדינה | U.S.A. |
סוג | Research Grants |
תאריך אחרון | 11/12/2019 |
פקולטה | Engineering, Exact Sciences |
תיאור |
The HyDDENN program seeks new data enabled neural network (NN) architectures to break the reliance on large MAC-based DNNs. The goal of HyDDENN is to significantly reduce AI hardware complexity by reducing parameter count by at least 10x, while maintaining SOA accuracy in comparison with a similar MAC-based DNN solution.
Phase 1: Feasibility Study (base) Phase 2: Proof of Concept (option)
Funding: Phase 1- $300,000 Phase 2- $700,000
Duration: 18 months (Phase 1: 6 months; Phase 2: 12 months)
Researh Authority due date: 4.12.19
|
קבצים מצורפים | |
קישור | לאתר |
עדכון אחרון | עדכון אחרון: 18/11/2019 |