Additive Manufacturing
PulseAugur coverage of Additive Manufacturing — every cluster mentioning Additive Manufacturing across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New framework boosts Digital Twin reliability with continual learning
Researchers have developed a new framework to enhance the reliability of Digital Twins, which are virtual models of physical systems. This framework addresses the issue of 'concept drift,' where the accuracy of the virt…
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New AI method optimizes additive manufacturing with attention-based RL
Researchers have developed a novel approach to optimize additive manufacturing processes by integrating a multi-head attention mechanism with the Soft Actor-Critic (SAC) algorithm. This method addresses limitations in t…
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NIST develops laser-stirring 3D printing for custom alloys
Researchers at the National Institute of Standards and Technology (NIST) have developed a novel metal 3D printing technique that uses elliptical laser paths to stir molten metal during the printing process. This softwar…
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LLM-ADAM framework enhances additive manufacturing anomaly detection
Researchers have developed LLM-ADAM, a novel framework utilizing Large Language Models for anomaly detection in additive manufacturing G-code files. This system decomposes the task into distinct roles: an Extractor-LLM …
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Huashu Gaoke plans to raise 3.91 billion yuan for advanced additive manufacturing equipment capacity expansion.
Huashu High-tech plans to raise up to 3.91 billion yuan through a private placement. These funds will be allocated to expanding production capacity for advanced additive manufacturing equipment, developing a comprehensi…
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IoT-enhanced CNN detects cracks in additive manufacturing with 99.54% accuracy
Researchers have developed an IoT-enhanced deep learning system for detecting cracks in additive manufacturing. The framework integrates real-time monitoring, edge computing, and convolutional neural networks (CNNs) to …