That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...
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Secure data warehousing in ERP environments: An AI-based multimodal threat detection framework by Emmanuel Philip Nittala
In an era where data has become one of the most valuable assets for organizations, protecting that data is a strategic ...
FLO, offers practical guidance on leveraging artificial intelligence, digital twins and streamlined workflows to improve ...
Bernice Asantewaa Kyere on modeling that immediately caught my attention. The paper titled “A Critical Examination of Transformational Leadership in Implementing Flipped Classrooms for Mathematics ...
AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...
Overview: AI-powered cloud security tools use machine learning and automation to detect threats faster than traditional ...
Artificial intelligence is transforming the way we explore the Moon. In a recent SETI Live, authors Adam Lesnikowski and Daniel Angerhausen, hosted by Franck Marchis, a Senior Planetary Astronomer at ...
One of the newest techniques to detect anomalies is called Isolation Forests. The algorithm is based on the fact that anomalies are data points that are few and different. As a result of these ...
Why 90% of enterprise AI projects fail to scale, and how Turinton is compressing adoption cycles by aligning AI with business ...
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