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New STLE Special Report Highlights Artificial Intelligence in Tribology
TelAve News/10902334
STLE highlights how artificial intelligence is enabling faster innovation cycles and more reliable product development.
PARK RIDGE, Ill. - TelAve -- The Society of Tribologists and Lubrication Engineers (STLE) — the premier technical society serving the needs of the tribology and lubrication engineering business sector — is pleased to announce the release of its new free digital special report, Building the Foundation for Artificial Intelligence in Tribology.
This report highlights how digitalization, interoperable data environments, and simulation-driven engineering are transforming research and industrial workflows, enabling faster innovation cycles and more reliable product development. It also examines the critical role of FAIR (Findable, Accessible, Interoperable, Reusable) data principles as the foundation for artificial intelligence (AI) and machine learning (ML) applications in tribology. With contributions from experts across the industry, including OEMs, this is an essential read for anyone navigating the current AI landscape.
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"As AI and ML move from concept to practice in our industry, the data foundation we build today will determine how much value we can unlock tomorrow," said STLE Executive Director Rebecca Lintow. "This report gives our members a clear, practical roadmap for adopting FAIR data principles now, so they're ready to lead as these technologies mature."
This free digital special report is now available for download at https://www.stle.org/aitribology. For more information, visit www.stle.org or call (847) 825-5536.
This report highlights how digitalization, interoperable data environments, and simulation-driven engineering are transforming research and industrial workflows, enabling faster innovation cycles and more reliable product development. It also examines the critical role of FAIR (Findable, Accessible, Interoperable, Reusable) data principles as the foundation for artificial intelligence (AI) and machine learning (ML) applications in tribology. With contributions from experts across the industry, including OEMs, this is an essential read for anyone navigating the current AI landscape.
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"As AI and ML move from concept to practice in our industry, the data foundation we build today will determine how much value we can unlock tomorrow," said STLE Executive Director Rebecca Lintow. "This report gives our members a clear, practical roadmap for adopting FAIR data principles now, so they're ready to lead as these technologies mature."
This free digital special report is now available for download at https://www.stle.org/aitribology. For more information, visit www.stle.org or call (847) 825-5536.
Source: Society of Tribologists and Lubrication Engineers
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