ChatLLM. An Honest Review of Our All-in-One AI Platform
kdnuggets.com·4h
🤗Hugging Face
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A generative adversarial network optimization method for damage detection and digital twinning by deep AI fault learning: Z24 Bridge structural health monitorin...
arxiv.org·3d
🧠deep learning
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Automated Cognitive Load Assessment via Dynamic Eye-Tracking & Predictive Modeling
🧠deep learning
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Neuromorphic Intelligence Promises a New Era of Brain-Like Sustainable AI
🧠deep learning
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Enhancing Fault-Tolerant Space Computing: Guidance Navigation and Control (GNC) and Landing Vision System (LVS) Implementations on Next-Gen Multi-Core Processor...
arxiv.org·17h
🤖llm
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Fair and Explainable Credit-Scoring under Concept Drift: Adaptive Explanation Frameworks for Evolving Populations
arxiv.org·17h
📊data science
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Colorectal Cancer Histopathological Grading using Multi-Scale Federated Learning
arxiv.org·1d
🧠deep learning
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Deep learning models simultaneously trained on multiple datasets improve base-editing activity prediction
nature.com·11h
🧠deep learning
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<p>**Originality:** This research proposes a novel approach to PDAC biomarker discovery that integrates multi-modal data (genomics, imaging, liquid biopsy) thro...
freederia.com·1d
🧠deep learning
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A Short History of Generative AI
pub.towardsai.net·8h
🧠deep learning
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Spiking Neural Networks: The Next Leap in AI Power Efficiency by Arvind Sundararajan
🧠deep learning
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<p>**Abstract:** Traditional adipose-derived stem cell (ADSC) characterization relies primarily on surface marker expression, often failing to capture the funct...
freederia.com·12h
📊data science
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<p>**Abstract:** This paper proposes a novel system for automated REACH (Registration, Evaluation, Authorisation and Restriction of Chemicals) compliance risk p...
freederia.com·16h
📊data science
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Benchmarking Federated Learning Frameworks for Medical Imaging Deployment: A Comparative Study of NVIDIA FLARE, Flower, and Owkin Substra
arxiv.org·3d
🤗Hugging Face
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Left Atrial Segmentation with nnU-Net Using MRI
arxiv.org·17h
🧠deep learning
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Learning to Land Anywhere: Transferable Generative Models for Aircraft Trajectories
arxiv.org·17h
🧠deep learning
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