Difference between revisions of "Telecommunications"
| Line 10: | Line 10: | ||
* [[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://www.ericsson.com/en/news/2019/10/ericsson-ai-to-boost-ran Ericsson launches unique AI functionality to boost radio access networks] | ||
| + | * [http://www.deepsig.io/ Deepsig] pioneering the application of deep learning to wireless | ||
* [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 20:49, 6 November 2019
Youtube search... ...Google search
- Case Studies
- Ericsson launches unique AI functionality to boost radio access networks
- Deepsig pioneering the application of deep learning to wireless
- 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
Machine learning is able to solve practical problems in communications.
