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Found 3 papers, 0 papers with code
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators
Our proposed ENOS framework allows an optimal layer-wise integration of inference operators and computing modes to achieve the desired balance of energy and accuracy.
Probabilistic Localization of Insect-Scale Drones on Floating-Gate Inverter Arrays
Addressing the computational challenges of localization in an insect-scale drone using a CIM approach, we propose a novel framework of 3D map representation using a harmonic mean of "Gaussian-like" mixture (HMGM) model.
Indoor Localization
Robotics
Hardware Architecture
Image and Video Processing
B.7; I.2.9
Low Latency CMOS Hardware Acceleration for Fully Connected Layers in Deep Neural Networks
We present a novel low latency CMOS hardware accelerator for fully connected (FC) layers in deep neural networks (DNNs).
