The conference will be held in Shijiazhuang, China from May 26 to 28, 2027, focusing on the frontier field of “Photonic Computing for AI Acceleration” . It will explore key scientific issues and engineering challenges across four major areas, including Integrated Photonic Functional Devices, Photonic Computing Architectures, Models and Training Methods, and System-Level Applications. The conference will delve into cutting-edge technologies such as on-chip integrated photonic devices, optoelectronic heterogeneous integration, diffractive neural networks and free-space computing, optoelectronic hybrid computing architectures, distributed photonic acceleration algorithms for large-scale models, intelligent computational imaging, and quantum-photonic hybrid computing. The conference aims to showcase the latest research achievements through keynote speeches, oral presentations, and poster sessions, promote collaborative innovation between fundamental research and industrial applications, and establish a high-level academic exchange and cooperation platform for global researchers and professionals. We sincerely welcome experts, scholars, technical professionals, and industry representatives from universities, research institutions, enterprises, and related fields worldwide to actively participate and exchange ideas.
All papers related to the theme of Photonic Computing for AI Acceleration can be submitted, including but not limited to the following topics:
On-chip Integrated Photonic Devices
Wavefront Modulation and Metasurface Devices
Optoelectronic Heterogeneous Integration and Packaging
Nonlinear Functional Materials and Devices
On-chip Optical Frequency Combs and Multi-wavelength Light Sources
Diffractive Neural Networks and Free-space Computing
On-chip Integrated Computing Architectures
Optoelectronic Hybrid Computing Architectures
Photonic Computing Architectures with Integrated Storage and Processing
Tensor Parallel Computing and Photonic Operators
Hardware Adaptation and Model Compression for Neural Networks
In-situ Training and Noise-Robust Learning
System Error Calibration and Fault-tolerant Algorithms
Distributed Photonic Acceleration Algorithms for Large-scale Models
Photonic Implementation Schemes for Multimodal Computing
Large-scale Model Inference and Training Acceleration Systems
Intelligent Computational Imaging and Visual Perception
Low-power AI Computing Systems for Edge Devices
Performance Evaluation of Photonic Computing Chips
Quantum-Photonic Hybrid Computing
Important Dates
Last date for paper submission: February 1st, 2027
Last date for paper acceptance: April 2nd, 2027
Final Paper Submission Deadline: May 5th, 2027
Publication
All accepted and registered papers will be published in International Conference Proceedings, which will be sent to EI Compendex and Scopus for indexing.
Submission Guidelines
All submissions should be in English and range from 4 to 8 pages, including figures and references, and should be formatted according to the template, which will be sent to you upon acceptance.
Please submit your paper via email to xueshu@eept.org.cn .
Authors should complete their submissions before the designated deadlines. Late submissions will not be considered. The initial and final submissions must be in an editable format. Hardcopy is not accepted.
The latest information can be found on the conference website.
Review Instruction
PCAIA 2027 follows the highest standards of publication ethics and takes all possible procedures against any publication misconduct. This Conference does not accept any type of plagiarism, which means that any author replicating a significant part of another's work without acknowledging him/her or passing another's work off as his/her own is not tolerated and not published.
All authors submitting their works to PCAIA 2027 for publication as original works confirm that the submitted papers are their own contributions and have not been copied in whole or in part from other works.
Each submission is anonymously reviewed by an average of three independent reviewers, to ensure the final high standard and quality of each accepted submission. The PCAIA 2027 guarantees that the entire peer review and publication process is meticulous and objective. Furthermore, all works not in accordance with these standards will be removed from the publication if malpractice is revealed at any time even after the publication. Every case of suspected plagiarism or duplicate publishing will be reported.