Difference between revisions of "Telecommunications"
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* [[Case Studies]] | * [[Case Studies]] | ||
| + | * [http://www.ericsson.com/en/news/2019/10/ericsson-ai-to-boost-ran Ericsson launches unique AI functionality to boost radio access networks} | ||
* [http://spectrum.ieee.org/telecom/wireless/if-darpa-has-its-way-ai-will-rule-the-wireless-spectrum If DARPA Has Its Way, AI Will Rule the Wireless Spectrum | Paul Tilghman] | * [http://spectrum.ieee.org/telecom/wireless/if-darpa-has-its-way-ai-will-rule-the-wireless-spectrum If DARPA Has Its Way, AI Will Rule the Wireless Spectrum | Paul Tilghman] | ||
* [http://www.spectrumcollaborationchallenge.com/ The DARPA Spectrum Collaboration Challenge (SC2)] ensure that the exponentially growing number of military and civilian wireless devices will have full access to the increasingly crowded electromagnetic spectrum. | * [http://www.spectrumcollaborationchallenge.com/ The DARPA Spectrum Collaboration Challenge (SC2)] ensure that the exponentially growing number of military and civilian wireless devices will have full access to the increasingly crowded electromagnetic spectrum. | ||
Revision as of 06:35, 3 November 2019
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- Case Studies
- [http://www.ericsson.com/en/news/2019/10/ericsson-ai-to-boost-ran Ericsson launches unique AI functionality to boost radio access networks}
- If DARPA Has Its Way, AI Will Rule the Wireless Spectrum | Paul Tilghman
- The DARPA Spectrum Collaboration Challenge (SC2) ensure that the exponentially growing number of military and civilian wireless devices will have full access to the increasingly crowded electromagnetic spectrum.
- How Machine Learning Is Creating New Opportunities In The Telecommunications Industry | Julie Stoughton - Digitalist Magazine
- 4 AI Trends that will Transform the Telecom Industry in 2019 | Becoming Human: Artificial Intelligence Magazine
- Top 10 Data Science Use cases in Telecom | Igor Bobriakov - Medium