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AI for Anomaly Detection

The convergence of mature Artificial Intelligence (AI) algorithms, ubiquitous data and affordable high power computers has led to the proliferation in real-world applications of AI.

One such area is use of AI to detect anomalous scenarios. There are multiple use cases for application of AI based anomaly detection techniques e.g. manufacturing defect detection, manufacturing asset monitoring, cyber security threat detection, medical diagnosis, fraud detection etc. This talk will cover some of the AI techniques used in anomaly detection, elaborate on the methodologies and factors guiding the choice of appropriate AI technique based on the characteristics of the use case.

Optimisation Community

The Optimisation Working Group has formed an online Community to help disseminate best practice and encourage the adoption of optimisation methods and technology. More information can be found on the Optimisation Community webpage.

The Optimisation Community is only accessible to NAFEMS members and no significant knowledge or expertise is required to participate. The only requirement is a desire to learn more and to interact with other engineers and scientists who have an interest in expanding their capabilities in the optimisation technical area.

Document Details

ReferenceW_Jul_20_global_1
AuthorKrishnamurthy. K
LanguageEnglish
TypePresentation
Date 7th July 2020
OrganisationAI Labs
RegionGlobal

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