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ACI Worldwide Introduces ACI Fraud Scoring for Financial Institutions

ACI Worldwide Introduces ACI Fraud Scoring for Financial Institutions
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ACI Worldwide, Inc : ACI Worldwide Launches Innovative ACI Fraud Scoring for Financial Institutions

Annual AI Awards honours Irish Artificial Intelligence excellence in 2021

Third Annual Awards Celebrate Irish AI Innovation across diverse sectors The 2021 AI Awards winners are: ACI Worldwide for the best application of AI in a Large Enterprise Terrain AI wins for the Best Application of AI to achieve Social Good INFANT Research Centre wins for a third year for Best Application of AI in an Academic Research Body Webio wins the award for Best Use of AI in a Consumer/Customer Service Application EdgeTier snaps the Best Application of AI in a Start-up award FIRE1 wins the Intelligent Automation – Best Use of RPA & Cognitive award STATSports recognised for Best Use of AI in Sector Eoin Kenny, University College Dublin wins the Best Application of AI in a Student Project award Dublin 25th November 2021: STATSports, FIRE1, ACI Worldwide, and INFANT Research Centre are amongst the top Irish AI innovators recognised by AI Ireland at the third annual AI Awards ceremony, sponsored by Microsoft.

Annual AI Awards Honours Irish Artificial Excellence in 2021 Technology, news for Ireland, Technology,

Annual AI Awards Honours Irish Artificial Excellence in 2021 Technology, news for Ireland, Technology,
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A defect detection system for wire arc additive manufacturing using in by Yuxing Li, Joseph Polden et al

In more recent times, research on various aspects of the Wire Arc Additive Manufacturing (WAAM) process has been conducted, and efforts into monitoring the WAAM process for defect identification have increased. Rapid and reliable monitoring of the WAAM process is a key development for the technology as a whole, as it will enable components produced by the process to be qualified to relevant standards and hence be deemed fit for use in applications such as those found in the aerospace or naval sectors. Intelligent algorithms provide inbuilt advantages in processing and analysing data, especially for the large data sets generated during the long manufacturing cycles. Interdisciplinary engineering (IDE) furnishes a concept integrating computer science and industrial system manufacturing engineering together to treat large amounts of process monitoring data. In this work, a WAAM process monitoring and defect detection system integrating intelligent algorithms is presented. The system monit

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