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Machine-learning analysis reclassifies armed conflicts into three new archetypes
There is often no straightforward explanation for the various types of violence that occur around the world. In fact, even ...
Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.
WebXPRT 5, a free online performance evaluation tool, provides objective information about how well web-connected ...
Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
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Tree grafting machine restoration
Map shows how Greenland’s rare earth minerals compare to rest of world Hundreds arrested for DUI in Tennessee despite negative blood alcohol tests Trump’s credibility problem on Venezuela Ranking ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
Today, the plastics industry stands at the threshold of a technological revolution, with artificial intelligence and machine learning poised to transform everything from material development to ...
Have you ever played one of those coin pusher arcade machines? The ones where you drop coins down onto a shelf that moves back and forth, hoping to cause a chain reaction that will dislodge a little ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...
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