research
∙
07/12/2023
Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems
This paper deploys and explores variants of TinyissimoYOLO, a highly fle...
share
research
∙
07/06/2023
Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge
Mixed-precision quantization, where a deep neural network's layers are q...
research
∙
07/03/2023
A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks
The emerging trend of deploying complex algorithms, such as Deep Neural ...
research
∙
05/27/2023
ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras
The interest in dynamic vision sensor (DVS)-powered unmanned aerial vehi...
research
∙
05/15/2023
Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC with 2-to-8b DNN Acceleration and 30
Emerging Artificial Intelligence-enabled Internet-of-Things (AI-IoT) Sys...
research
∙
02/15/2023
ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications
End-to-end event-based computation has the potential to push the envelop...
research
∙
12/01/2022
TCN-CUTIE: A 1036 TOp/s/W, 2.72 uJ/Inference, 12.2 mW All-Digital Ternary Accelerator in 22 nm FDX Technology
Tiny Machine Learning (TinyML) applications impose uJ/Inference constrai...
research
∙
11/03/2020
CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration with Better-than-Binary Energy Efficiency
We present a 3.1 POp/s/W fully digital hardware accelerator for ternary ...
research
∙
08/30/2019