ITU Journal on Future and Evolving Technologies (ITU J-FET)

​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​The ITU Journal on Future and Evolving Technologies (ITU J-FET) is an international journal providing complete coverage of all communications and networking paradigms, free of charge for both readers and authors. 
The ITU Journal considers yet-to-be-published papers addressing fundamental and applied research. It shares new techniques and concepts, analyses and tutorials, as well as learning from experiments and physical and simulated testbeds. It also discusses the im​plications of the latest research results for policy and regulation, legal frameworks, the economy and society. This publication builds bridges between disciplines, connects theory with application, and stimulates international dialogue. Its interdisciplinary approach reflects ITU’s comprehensive field of interest and explores the convergence of ICT with other disciplines.​​

ITU Journal​ - webinars series​ ​​

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Regular issue - paper submission​

The ITU Journal welcomes submissions at any time, and ​on any to​​pic ​within its scope. Papers will be published in the ITU Digital Library

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Special issues​ - paper submission​

​	​​​ AI/ML solutions in 6G and AI-native networks​ Deadline for paper su​bmission extended: 30 September 2026 ​ Submit here​​
	​​​ Quantum-safe communication Deadline for paper su​bmission​: 30 November 2026 ​ Submit here​​

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​Downlo​ad the latest articles​​

• ​Vision language action models for robotic manipulation: A comparative evaluation of policy and value architectures​
  Hongliang Wang, Jin Liu, Xiaolin Zhu, Qiang Fu, Yuhua Zheng, Wangmeng Zuo, Changqing Zou, Evgeny Burnaev
  Volume 7 (2026), Issue 3, Pages 477-491
• Memristive technologies in spatial artificial intelligence architectures: A comprehensive review of advantages, bottlenecks, and mitigation strategies
  Haoyue Deng, Huiqin Ma, Tuo Shi, Xiaoxin Xu
  Volume 7 (2026), Issue 3, Pages 464-476
• Noise-aware fine-tuning as a hardware noise margin: Cross-layer co-design for robust low bit RRAM in-memory computing toward space-borne edge inference
  Yang Tian, Dunan Hu, Lingzi Zhang, Lili Gao, Kequan Xia, Tuo Shi, Jianguo Lu
  Volume 7 (2026), Issue 3, Pages 452-463
• Diffusion-guided lightweight remote-sensing semantic models for on-board AI
  Xinyue Li, Hongwei Li, Jingwen Wang, Chunhui Wang, Chaojie Zhang
  Volume 7 (2026), Issue 3, Pages 440-451
• On-orbit change detection for remote sensing applications: Opportunities and challenges
  Su Ye, Yuchen Tao, Xiucheng Yang
  Volume 7 (2026), Issue 3, Pages 430-439
  

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