News
Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...
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Tech Xplore on MSNReinforcement learning for nuclear microreactor controlA machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output ...
Increase agricultural productivity in India using machine learning-based crop recommendation systems for improved yields and ...
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News-Medical.Net on MSNNew machine learning model brings transparency to risk prediction in medulloblastomaMedulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes.
On Wednesday, predictive analytics firm Recentive filed a combined petition for panel rehearing and rehearing en banc with the U.S. Court of Appeals for the Federal Circuit challenging that court’s ...
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Tech Xplore on MSNQuantum machine learning improves semiconductor manufacturing for first timeSemiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...
16don MSN
A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences has developed a machine learning (ML) framework to analyze virus filtration ...
Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...
Researchers have shown, for the first time, that speckle contrast optical spectroscopy (SCOS) can be used for cuffless blood ...
As a technical discipline, the field of AI began in the mid-20th century. In 1950, British mathematician Alan Turing proposed ...
A customizable KWS approach reduces resource demands and allows users to easily add their own keywords without machine ...
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