[HTML][HTML] 7 μJ/inference end-to-end gesture recognition from dynamic vision sensor data using ternarized hybrid convolutional neural networks
Dynamic vision sensor (DVS) cameras enable energy-activity proportional visual sensing by
only propagating events produced by changes in the observed scene. Furthermore, by …
only propagating events produced by changes in the observed scene. Furthermore, by …
TCN-CUTIE: A 1,036-TOp/s/W, 2.72-µJ/Inference, 12.2-mW All-Digital Ternary Accelerator in 22-nm FDX Technology
Tiny machine learning (TinyML) applications impose µJ/inference constraints, with a
maximum power consumption of tens of megawatt. It is extremely challenging to meet these …
maximum power consumption of tens of megawatt. It is extremely challenging to meet these …
A 593nJ/Inference DVS Hand Gesture Recognition Processor Embedded With Reconfigurable Multiple Constant Multiplication Technique
Z Fu, W Ye - IEEE Transactions on Circuits and Systems I …, 2024 - ieeexplore.ieee.org
Hand gesture recognition (HGR) is a popular technique for edge-based human-computer
interaction. Dynamic vision sensors (DVS) are often used in HGR systems due to their low …
interaction. Dynamic vision sensors (DVS) are often used in HGR systems due to their low …
Agile and Efficient Inference of Quantized Neural Networks
G Rutishauser - 2024 - research-collection.ethz.ch
Zeitgleich mit der rasanten Ausbreitung des Internet of Things (IoT) hat die Entwicklung von
Deep-Learning-Algorithm eine Revolution im Feld des maschinellen Lernens ausgelöst. Die …
Deep-Learning-Algorithm eine Revolution im Feld des maschinellen Lernens ausgelöst. Die …
[PDF][PDF] Hardware-Software Co-Design for Energy-Efficient Neural Network Inference at the Extreme Edge
M Scherer - 2024 - research-collection.ethz.ch
Since the breakthrough success of AlexNet in the ILSVRC image recognition challenge in
2012, Deep Neural Networks (DNNs), and in particular Convolutional Neural Networks …
2012, Deep Neural Networks (DNNs), and in particular Convolutional Neural Networks …