The Register on MSN
Machine learning could yield faster, cheaper lithium-ion battery development
Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...
The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...
EPFL researchers developed optimal pitch profiles for vertical-axis wind turbines using a genetic learning algorithm. The new pitch profiles resulted in a 200% increase in turbine efficiency and a 77% ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
A new machine learning approach developed through an international collaboration between Polytechnic University of Milan and Drexel University could help architects and urban planners better predict ...
AZoSensors on MSN
Low-power sensor node brings machine learning to the edge of environmental monitoring
A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time environmental monitoring while optimizing energy efficiency.
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