This article is this edition's winner of the ASU Writing Competition. The competition is open quarterly to current ASU ...

To address this limitation, we propose a novel Domain Adaptation Contrastive learning model for Anomaly Detection in multivariate time series (DACAD), combining UDA with contrastive learning. DACAD ...

Ukraine's inventory of Patriot surface-to-air missile systems have been very effective against Russia, two US Army officers ...

New research reveals why old merger strategies fail and how fresh thinking can lead to lasting value for both sides of the deal.

Continual learning requires the model to learn multiple tasks sequentially. In continual learning, the model should possess the ability to maintain its performance on old tasks (stability) and the ...

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Discover how AI-ready Surface devices are transforming teaching and learning IT decisions have profound and far‑reaching effects – not only on the students who use the devices every day to learn and ...

In private equity, continuous adaptation isn’t optional—it’s essential. Few business leaders understand this fundamental truth better than JP Conte, whose more than three-decade career has ...