Research published in the International Journal of Energy Technology and Policy shows how a neural network can be trained with a genetic algorithm to forecasting short-term demands on electricity load. Chawalit Jeenanunta ...
Machine Learning & AI
Apr 17, 2019
1
6
A research group from Tohoku University has developed spintronics devices which are promising for future energy-efficient and adoptive computing systems, as they behave like neurons and synapses in the human brain.
Nanophysics
Apr 17, 2019
0
57
When Google DeepMind's AlphaGo shockingly defeated legendary Go player Lee Sedol in 2016, the terms artificial intelligence (AI), machine learning and deep learning were propelled into the technological mainstream.
Computer Sciences
Apr 15, 2019
0
16
Researchers of the UWICORE laboratory, of the Department of Communications Engineering and the I3E Engineering Research Centre of the Miguel Hernández University (UMH) of Elche, have proven that the coexistence between autonomous ...
Hi Tech & Innovation
Apr 04, 2019
0
7
The grid is changing as the big, centralized providers of the past are replaced by smaller, distributed suppliers. Keeping such complex networks running stable requires high-resolution sensor technology – AI provides a ...
Energy & Green Tech
Apr 01, 2019
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70
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help ...
Molecular & Computational Biology
Mar 28, 2019
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405
A research team at The University of Tokyo has developed a powerful machine learning algorithm that predicts the properties and structures of unknown samples from an electron spectrum. This process may rapidly accelerate ...
General Physics
Mar 26, 2019
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16
A research team at Children's Hospital of Philadelphia (CHOP) has developed an innovative computational tool offering researchers an efficient method for detecting the different ways RNA is pieced together (spliced) when ...
Molecular & Computational Biology
Mar 25, 2019
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204
Scientists seeking to understand Earth's inner clockwork have deployed armies of sensors listening for signs of slips, rumbles, exhales and other disturbances emanating from the planet's deepest faults to its tallest volcanoes. ...
Earth Sciences
Mar 22, 2019
2
67
Scientists from the Skoltech Center for Computational and Data-Intensive Science and Engineering (CDISE) and Helmholtz Munich Center for Environmental Health (HMGU, Germany) have created a neural network for visualizing the ...
Materials Science
Mar 21, 2019
0
20
