🔥 PyTorch

Deep Learning, Neural Networks, Model Training, GPU Computing

Real-time stock volatility prediction with deep learning on a time-series DB
medium.com·3d·
Discuss: Hacker News
📊data science
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Generalizing Test-Time Compute-Optimal Scaling as an Optimizable Graph
huggingface.co·2d·
Discuss: Hacker News
🤗Hugging Face
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Perplexity shows how to run monster AI models more efficiently on aging GPUs, AWS networks
theregister.com·1d
🧠deep learning
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Plush neuron makes AI approachable, simplifies neural networks for middle schoolers
phys.org·10h
🤗Hugging Face
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Region-Aware Reconstruction Strategy for Pre-training fMRI Foundation Model
arxiv.org·3d
🤗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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Deep Koopman Economic Model Predictive Control of a Pasteurisation Unit
arxiv.org·6h
🧠deep learning
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Symmetry as a Superpower
dev.to·23h·
Discuss: DEV
🧠deep learning
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<p>**Abstract:** This paper introduces a novel AI-driven framework, HyperScore-Optimized Enhanced Mineral Weathering (HS-EMW), for significantly enhancing the e...
freederia.com·6h
📊data science
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Google’s cheaper, faster TPUs are here, while users of other AI processors face a supply crunch
infoworld.com·15h
📊data science
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Automated Terahertz Spectral Signature Reconstruction for Non-Destructive Material Authentication
dev.to·21h·
Discuss: DEV
🧠deep learning
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REMIND: Input Loss Landscapes Reveal Residual Memorization in Post-Unlearning LLMs
arxiv.org·6h
🧠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·6h
🤖llm
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Fair and Explainable Credit-Scoring under Concept Drift: Adaptive Explanation Frameworks for Evolving Populations
arxiv.org·6h
📊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·11m
🧠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·13h
🧠deep learning
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Spiking Neural Networks: The Next Leap in AI Power Efficiency by Arvind Sundararajan
dev.to·2d·
Discuss: DEV
🧠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·1h
📊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·5h
📊data science
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