235 citations
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR26 papers
- CEA GrenobleFR22 papers
- Centre National de la Recherche ScientifiqueFR21 papers
- Laboratoire d'Électronique des Technologies de l'InformationFR20 papers
- Université Grenoble AlpesFR19 papers
- Institut polytechnique de GrenobleFR11 papers
- Institut Nanosciences et CryogénieFR7 papers
- Institut d'électronique de microélectronique et de nanotechnologieFR4 papers
- Institut des Nanotechnologies de LyonFR4 papers
- Université Paris-SaclayFR4 papers
- Centre de Nanosciences et de NanotechnologiesFR3 papers
- Centre de Recherche sur l'Hétéro-Epitaxie et ses ApplicationsFR3 papers
47 papers
Supercontinuum generation in 2D graphene oxide film coated SiN waveguides
David J. Moss
Enhanced supercontinuum generation (SCG) is experimentally demonstrated in integrated silicon nitride (Si3N4) waveguides incorporating highly nonlinear graphene oxide (GO) in the f…
Enhanced selfphase modulation in silicon nitride waveguides with integrated 2D MoS2 films
Shahaz S. Hameed, Di Jin, Aihao Zhao +9
On-chip integration of 2D materials provides a promising route towards next-generation integrated optical devices with performance beyond existing limits. Here, significantly enhan…
Implémentation Efficiente de Fonctions de Convolution sur FPGA à l'Aide de Blocs Paramétrables et d'Approximations Polynomiales
Philippe Magalhães, Virginie Fresse, Benoît Suffran +1
Implementing convolutional neural networks (CNNs) on field-programmable gate arrays (FPGAs) has emerged as a promising alternative to GPUs, offering lower latency, greater power ef…
A Resource-Driven Approach for Implementing CNNs on FPGAs Using Adaptive IPs
Philippe Magalhães, Virginie Fresse, Benoît Suffran +1
The increasing demand for real-time, low-latency artificial intelligence applications has propelled the use of Field-Programmable Gate Arrays (FPGAs) for Convolutional Neural Netwo…
J3DAI: A tiny DNN-Based Edge AI Accelerator for 3D-Stacked CMOS Image Sensor
Benoit Tain, Raphael Millet, Romain Lemaire +9
This paper presents J3DAI, a tiny deep neural network-based hardware accelerator for a 3-layer 3D-stacked CMOS image sensor featuring an artificial intelligence (AI) chip integrati…
Characterization of pixel crosstalk and impact of Bayer patterning by quantum efficiency measurement
Jérôme Vaillant, Clémence Mornet, Thomas Decroux +2
Development of small pixels for high resolution image sensors implies a lot of challenges. A high level of performance should be guaranteed whereas the overall size must be reduced…