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Tech Xplore on MSNPredicting material failure: Machine learning spots early abnormal grain growth signs for safer designsA team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline ...
A team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline ...
A paper describing their novel machine learning ... A long short-term memory (LSTM) network modeled how the properties -- or features -- of the material would be evaluated and a graph-based ...
The latest announcement from the green team is for Blackwell-based GeForce RTX 5060 GPUs that mere mortals can afford.
The Coolest Database System Companies Of The 2025 Big Data 100 include Cockroach Labs, Couchbase, EDB and MongoDB.
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression ...
Traditional extraction methods in ETL (Extract, Transform, Load) systems often struggle with the constantly changing formats and sources in today’s digital environments. AI has stepped in to make this ...
A man walks into a casino dressed like he’s about to close a tech IPO. He’s not here to gamble—he’s here to win, armed with stats, spreadsheets, and a disturbing familiarity with horse stamina on ...
A team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time—a ...
This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...
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