Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
Artificial intelligence and machine learning have transformed how we process information, make decisions, and solve complex problems. Behind every ...
Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
As we get ready for 2025, the world of AI training tools is really heating up. It feels like every week there’s something new that promises to make building and using AI easier. Whether you’re just ...
VFF-Net introduces three new methodologies: label-wise noise labelling (LWNL), cosine similarity-based contrastive loss (CSCL), and layer grouping (LG), addressing the challenges of applying a forward ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Discovering chemical reaction pathways using quantum mechanics is impractical for many ...
If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...
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