Difference between revisions of "Energy"
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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] | ||
| + | * [http://www.wired.com/story/ai-is-throwing-battery-development-into-overdrive/ 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 | Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications | ||
Revision as of 07:40, 13 October 2020
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- Other Challenges in Artificial Intelligence
- Power (Management)
- 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
