no code implementations • 22 Dec 2023 • Alaa Saleh, Roberto Morabito, Sasu Tarkoma, Susanna Pirttikangas, Lauri Lovén
In today's digital world, Generative Artificial Intelligence (GenAI) such as Large Language Models (LLMs) is becoming increasingly prevalent, extending its reach across diverse applications.
no code implementations • 12 Nov 2023 • Shouhua Zhang, Jiehan Zhou, Xue Ma, Chenglin Wen, Susanna Pirttikangas, Chen Yu, Weishan Zhang, Chunsheng Yang
Traditional fault diagnosis methods using Convolutional Neural Networks (CNNs) face limitations in capturing temporal features (i. e., the variation of vibration signals over time).
1 code implementation • 3 May 2022 • Henna Kokkonen, Lauri Lovén, Naser Hossein Motlagh, Abhishek Kumar, Juha Partala, Tri Nguyen, Víctor Casamayor Pujol, Panos Kostakos, Teemu Leppänen, Alfonso González-Gil, Ester Sola, Iñigo Angulo, Madhusanka Liyanage, Mehdi Bennis, Sasu Tarkoma, Schahram Dustdar, Susanna Pirttikangas, Jukka Riekki
We claim that to support the constantly growing requirements of intelligent applications in the device-edge-cloud computing continuum, resource orchestration needs to embrace edge AI and emphasize local autonomy and intelligence.
no code implementations • 26 Aug 2021 • Lam Huynh, Tri Nguyen, Thu Nguyen, Susanna Pirttikangas, Pekka Siirtola
Smartwatches have rapidly evolved towards capabilities to accurately capture physiological signals.
no code implementations • 21 Apr 2021 • Jiehan Zhou, Shouhua Zhang, Qinghua Lu, Wenbin Dai, Min Chen, Xin Liu, Susanna Pirttikangas, Yang Shi, Weishan Zhang, Enrique Herrera-Viedma
Federated learning (FL) brings collaborative intelligence into industries without centralized training data to accelerate the process of Industry 4. 0 on the edge computing level.