

2027 2nd International Conference on Machine Learning and Embedded Systems (MLES 2027) will be held on April 23-25, 2027 in Wuhu, China.
The goal of MLES is to promote the research and developmental activities in Machine Learning and Embedded Systems and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held to make it an ideal platform for people to share views and experiences in Machine Learning and Embedded Systems and related areas.
This conference focuses on Machine Learning and Embedded Systems, aiming to provide a platform for experts and scholars, engineers and researchers to share scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote cooperation in the industrialization of academic achievements.
We look forward to seeing you!
Full Paper Submission Date: February 1, 2027
Final Paper Submission Date: March 20, 2027
Registration Deadline: March 1, 2027
Conference Dates: April 23-25, 2027

Countdown to the Conference:
The topics of interest for submission include, but are not limited to:
🧠︎Machine Learning
Machine Learning Models; Deep Learning; Neural Networks; Reinforcement Learning; Generative AI; Transfer Learning; Multimodal Learning; Edge Machine Learning; Computer Vision; Image Processing;
🚀︎Applications
Robotics; Autonomous Systems; Smart Manufacturing; Intelligent Transportation; Medical AI; Industrial Inspection; Surveillance Systems; Environmental Monitoring; Smart Devices; Biomedical Imaging;
⚙️︎Embedded Systems
Embedded AI; Real‑Time Processing; Low‑Power Computing; FPGA Acceleration; ASIC Design / ASIC; Microcontroller Systems; Embedded Vision; Embedded Sensors; System Integration; Sensor Fusion;
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
![]() |