The prediction of the rate of penetration (ROP) in drilling engineering is a linchpin for optimising operational efficiency and reducing costs. Recent advances in machine learning have prompted the ...
AI and machine learning has been part of the industrial biomanufacturing industry for a few years now but are we at the ...
The research team developed a hybrid Long Short-Term Memory (QLSTM) model capable of effectively identifying complex patterns in quantum data, thereby detecting common QKD attacks. The study utilized ...
10d
IISc researchers use machine learning and amorphous materials to build high energy density batteries
The Indian Institute of Science (IISc) researchers, in a new study using a machine learning model and amorphous materials, ...
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Building better batteries with amorphous materials and machine learning
Lithium-ion batteries power most electronics, but they have limited energy density—they can store only a certain amount of energy per mass or volume of the battery.
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