Difference between revisions of "Energy"
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Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications | Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications | ||
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+ | <b>Energy storage & Artificial intelligence | Sustainable Energy | ||
+ | </b><br>Stem couple energy storage with artificial intelligence so that their customers can store renewable energy on a major scale. Then, they can use it efficiently when and where they need it, saving time and money. | ||
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+ | <b>Jim Gao ([[Google]]): How AI can Change the Energy World | ||
+ | </b><br>Listen to [[Google]]'s Guru of Machine Learning Jim Gao at Tech Festival 2017. on how artificial intelligence can change the energy world. He argues that AI is about augmenting human intelligence and that it offers the opportunity to solve many hard problems such as climate change https://bit.ly/2N8pUPI Speaker information: Jim Gao is a Data Center Engineer at [[Google]]. He focuses on large data analysis, machine learning, data center design and construction. Before joining Google, he graduated from U.C. Berkeley with B.S. degrees in Mechanical Engineering and Environmental Sciences. | ||
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+ | <b>AI Is Helping Supply 1 Billion People in India with Renewable Energy | ||
+ | </b><br>World Economic Forum India is changing the way energy happens by bringing together the power of hardware with software. Watch to see how. http://www.weforum.org/ | ||
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= Solar Energy = | = Solar Energy = |
Revision as of 09:58, 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
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Solar Energy
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