Defense systems must integrate legacy electronics (often running at 3.3 V–5 V and older packages) with modern subsystems (≈1.2 V–2 V). Lack of flexible, trusted, U.S.-fabricated devices that can programmatically bridge these voltage domains drives cost,
from Voltage Translation FPGA Design and EDA Flow for Countering Obsolescence
Augmentations in a deep neural network (DNN) are introduced to enhance image classification accuracy while significantly reducing inference time. The architecture comprises a hybrid framework that combines binary classifiers based
from DNN Architectural Enhancements with Inference Time and Energy Considerations
Farmers possess significant knowledge about crops, their distress, and diseases. However, it is labor intensive for farmers to notice all the plants at all times. There needs to be an
NSF INDUSTRY-UNIVERSITY COOPERATIVE RESEARCH CENTER