European Conference on EDGE AI Technologies and Applications – EEAI
Edge artificial intelligence (AI) combines AI, the Internet of Things (IoT) and edge computing technologies to provide real-time collection, processing, analytics, and decision-making.
The edge AI technologies and applications are constantly evolving and are driving future intelligent control and decision-making by moving AI capabilities closer to the physical world to enable the implementation of autonomous systems.
The development of edge AI is supported by advancements in edge processing devices with novel processing architectures, including CPUs, GPUs, TPUs, ASICs, FPGAs, system on chip (SoC), system on module (SoM), and neuromorphic accelerators.
The expansion of the micro, deep, and meta-edge continuum as part of the novel distributed AI-based computing architectures support the emerging intelligent autonomous systems and applications across various industrial sectors.
The European Conference on EDGE AI Technologies and Applications – EEAI brings together researchers, practitioners, and edge intelligence champions to convey and exemplify their perspectives on energy-efficient edge AI architectures, frameworks, and platforms.
The conference addresses the edge AI foundations, applications, algorithms, software, communication networks, and systems. It allows showcasing the latest advancements in these areas, providing an arena for debating/identifying future directions and challenges.
The European Conference on EDGE AI Technologies and Applications aims to serve as an innovative edge AI platform for exchanging ideas and concepts and feature several leading voices in research and industry supporting the integration of edge AI technologies for advancing future industrial applications.
You can find more details about this conference at: http://edge-ai-tech.eu/conferences-overview/EdgeAI (edge-ai-tech.eu)
The contributions made by ANDANTE during this conference were 6 presentations and 2 posters. As well as a pitch of ANDANTE.
Presentations
- Mario Diaz Nava, STMicroelectronics, France Tang, imec-NL, The Netherlands
“Pitch: “ANDANTE: AI for New Devices And Technologies at the Edge various results” - Marko Noack, Ferroelectric Memory GmbH, Germany “ FeFET-based Non-Volatile Memory and AI Accelerator Macro ”
- Guangzhi Tang, imec-NL, The Netherlands
“SENECA: Flexible and Scalable Neuromorphic Processor for Efficient Event-driven Neural Processing” - Aymeric Deshayes, Laboratoire IMS, France
“Devices for Smart Agriculture Applications: Autonomous Weeding of Vegetables and Vine Health Monitoring” - Ivan-Miro Panades, CEA, France
“ANDANTE Platform 4.1a: A Multi-Application Platform Supporting Several Uses Cases in the Domains Digital Farming and Transport and Smart Mobility” - Chen Liu, Technische Universität Dresden , Germany
“CA-CFAR is Convolution: Fast Target Detection With Machine Learning Accelerator” - Chen Liu, Technische Universität Dresden , Germany
“RANet: An Autoencoder for High-Resolution Range-Angle Maps in Multistatic Radar”
You can find more details about these presentations at: https://edge-ai-tech.eu/conference-program-2023
POSTERS
• Poster-1: Alexandre Valentian, Mario Diaz Nava
“Non-Volatile Memory (NVM) based In-Memory Computing (IMC) solutions of ANDANTE project”.
Poster-2: Mario Diaz Nava, Loreto Mateu Saez, Ivan Miro-Panades
“HW Design of Edge AI processors implementing Spiking and Artificial Neural Networks using different embedded Non-Volatile Memory technologies”
