By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
Abstract: Software testing is an essential yet costly phase of the software development lifecycle. While machine learning-based test suite optimization techniques have shown promise in reducing ...
The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, addressing long data lags and oil-driven distortions in headline GDP. By ...
Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...
Abstract: This paper presents a systematic approach to enhancing ISO 26262, a widely adopted standard for automotive functional safety, by integrating Machine Learning (ML)-specific life cycle phases ...
College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...
No audio available for this content. High-precision GNSS applications, such as real-time displacement monitoring and vehicle navigation, rely heavily on resolving carrier-phase ambiguities. However, ...
Microsoft offers an easy method to recover Windows devices when encountering fatal issues that prevent them from booting up – Quick Machine Recovery. It searches the cloud server for resolutions and ...
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