Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Comment
  • Published:

6G: the catalyst for artificial general intelligence

Nature Reviews Electrical Engineering volume 1, pages 561–562 (2024)Cite this article

Subjects

6G might integrate 5G and AI to merge physical, cyber and sapience spaces, transforming network interactions and enhancing AI-driven decision-making and automation. The semantic approach to communication will train AI while selectively informing on goal achievement, moving towards artificial general intelligence, presenting new challenges and opportunities.

This is a preview of subscription content, access via your institution

Access options

Buy this article

  • Purchase on SpringerLink
  • Instant access to full article PDF
Buy now

Prices may be subject to local taxes which are calculated during checkout

References

  1. Bender, E., Gebru, T., McMillan-Major, A. & Shmitchell, S. On the dangers of stochastic parrots: can language models be too big? In FAccT ’21: Proc. 2021 ACM Conference on Fairness, Accountability, and Transparency 610–623 (Association for Computing Machinery, 2021).

  2. Xiao, Y., Shi, G., Li, Y., Saad, W. & Poor, H. V. Toward self-learning edge intelligence in 6G. IEEE Commun. Mag. 58, 34–40 (2020).

    Article  Google Scholar 

  3. Calvanese Strinati, E. et al. Towards distributed and intelligent integrated sensing and communications for 6G networks. In 2024 Joint European Conference on Networks and Communications & 6G Summit (2024).

  4. Calvanese Strinati, E. & Barbarossa, S. 6G networks: beyond Shannon towards semantic and goal-oriented communications. Comput. Netw. 190, 107930 (2021).

    Article  Google Scholar 

  5. Calvanese Strinati, E. et al. 6G: The next frontier: from holographic messaging to artificial intelligence using subterahertz and visible light communication. IEEE Vehic. Technol. Mag. 14, 42–50 (2019).

    Article  Google Scholar 

  6. Popovski, P. et al. A perspective on time toward wireless 6G. Proc. IEEE Inst Electr. Electron. Eng. 110, 1116–1146 (2022).

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by Smart Networks and Services Joint Undertaking projects under the European Union’s Horizon 2020 programs 6G-GOALS (grant agreement no. 101139232), 6G-DISAC (grant agreement no. 101139130) and 6G-Arrow.

Author information

Authors and Affiliations

  1. CEA-Leti, DSYS Department, Grenoble, France

    Emilio Calvanese Strinati

Authors
  1. Emilio Calvanese Strinati
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Emilio Calvanese Strinati.

Ethics declarations

Competing interests

The author declares no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Calvanese Strinati, E. 6G: the catalyst for artificial general intelligence. Nat Rev Electr Eng 1, 561–562 (2024). https://doi.org/10.1038/s44287-024-00090-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s44287-024-00090-1

Search

Advanced search

Quick links

Nature Briefing AI and Robotics

Sign up for the Nature Briefing: AI and Robotics newsletter — what matters in AI and robotics research, free to your inbox weekly.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing: AI and Robotics