Difference between revisions of "Energy"
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[http://www.google.com/search?q=energy+consumption+policy+considerations+Efficient+deep+machine+learning+ML+artificial+intelligence ...Google search] | [http://www.google.com/search?q=energy+consumption+policy+considerations+Efficient+deep+machine+learning+ML+artificial+intelligence ...Google search] | ||
| − | * [[Space/Planets#Sun / Solar|Sun / Solar]] | + | * [[Case Studies]] |
| + | ** [[Power (Management)]] | ||
| + | *** [[Space/Planets#Sun / Solar|Sun / Solar]] | ||
* [[Other Challenges]] in Artificial Intelligence | * [[Other Challenges]] in Artificial Intelligence | ||
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* [http://drive.google.com/file/d/1v3TxkqPuzvRfiV_RVyRTTFbHl1pZq7Ab/view Energy and Policy Considerations for Deep Learning in NLP | E. Strubell, A. Ganesh, and A. McCallum - College of Information and Computer Sciences & University of Massachusetts Amherst] | * [http://drive.google.com/file/d/1v3TxkqPuzvRfiV_RVyRTTFbHl1pZq7Ab/view Energy and Policy Considerations for Deep Learning in NLP | E. Strubell, A. Ganesh, and A. McCallum - College of Information and Computer Sciences & University of Massachusetts Amherst] | ||
* [http://www.google.com/search?q=Energy+Efficient+Machine+Learning+and+Cognitive+Computing Energy Efficient Machine Learning and Cognitive Computing] | * [http://www.google.com/search?q=Energy+Efficient+Machine+Learning+and+Cognitive+Computing Energy Efficient Machine Learning and Cognitive Computing] | ||
Revision as of 09:41, 15 November 2020
YouTube search... ...Google search
- Case Studies
- Other Challenges in Artificial Intelligence
- Energy and Policy Considerations for Deep Learning in NLP | E. Strubell, A. Ganesh, and A. McCallum - College of Information and Computer Sciences & University of Massachusetts Amherst
- Energy Efficient Machine Learning and Cognitive Computing
- AI Is Throwing Battery Development Into Overdrive | Daniel Oberhaus - Wired ... Improving batteries has always been hampered by slow experimentation and discovery processes. Machine learning is speeding it up by orders of magnitude.
Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications
Solar Energy
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