A5046540504- Advanced Neural Network Applications
- Advanced Memory and Neural Computing
- CCD and CMOS Imaging Sensors
- Neural Networks and Applications
- AI in cancer detection
- Physical Unclonable Functions (PUFs) and Hardware Security
- Non-Invasive Vital Sign Monitoring
- Physical Activity and Health
- Parallel Computing and Optimization Techniques
- Gastrointestinal Bleeding Diagnosis and Treatment
- Modular Robots and Swarm Intelligence
- Image Retrieval and Classification Techniques
- Context-Aware Activity Recognition Systems
- IoT and Edge/Fog Computing
- Ferroelectric and Negative Capacitance Devices
Institut d'Électronique et des Systèmes
2019-2024
Sorbonne Université
2021-2024
Université Paris Cité
2021-2024
Centre National de la Recherche Scientifique
2021-2024
Laboratoire de Recherche en Informatique de Paris 6
2021-2023
University College Cork
2018
Our society will be deeply impacted by neural network inference on embedded devices. Many of them are based the use microcontroller units (MCUs) which extremely resource-scarce. The best modality to solve most computer vision problems artificial intelligence algorithms such as Convolutional Neural Networks (CNNs). Although, a CNN's accuracy implies significant costs within targeted hardware: an important energy consumption, high latency, and memory footprint. This is Tiny Machine Learning...
Neural network inference on embedded devices will have an important industrial impact our society. Embedded are ubiquitous in many fields, like human activity recognition or visual object detection. As a matter of fact, Convolutional Networks (CNNs) now the best modality to solve most computer vision problems. Although, accuracy offered by these algorithms has cost: energy consumption, high execution time, and significant memory footprint. This cost is major challenge implement CNNs within...
In today's society, the use of watch-based technology is growing steadily and being used in a wide range applications on different aspects user's life, from sport fitness measurement, to entertainment healthcare evaluation. Considering multiple application fields for smartwatch/wristbands their potential adoption precision medicine applications, it thus critical investigate performance accuracy these devices scenarios interest. This study investigated variety commercially available activity...
A way to improve the early detection of colorectal cancer is screening. Polyps are a marker and best modality detect them image. In 2003 Wireless Capsule Endoscopy was introduced opened integrate automatic image processing realize screening tool. Moreover, capacity polyp with Convolutional Neural Network shown in many scientific studies, but one issue integration these networks. this article, we present our works CNN or based on inside WCE powerful We apply knowledge distillation method....
Embedded systems based on Microcontroller Units (MCUs) often gather significant quantities of data and solve various issues. Convolutional Neural Networks (CNNs) have proven their effectiveness in solving computer vision natural language processing tasks. However, implementing CNNs within MCUs is challenging due to high inference costs, which varies widely depending hardware targets CNN topologies. Despite state-of-the-art advancements, no efficient design space exploration solutions handle...
The unprecedented growth of Convolutional Neural Networks (CNNs) opens a new era vision-based applications. popularity the Internet Things (IoT), based on microcontroller units (MCUs), requires fully autonomous While cloud-based solutions are standard, implementing deep learning algorithms within IoT devices will improve data privacy and reduce energy consumption. However, high inference cost CNNs limited computational resources available MCUs create challenge. To overcome these limitations,...