Inline vs. Pipeline Ray Tracing
🔺Geometric Learning
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A filtering scheme for confocal laser endomicroscopy (CLE)-video sequences for self-supervised learning
arxiv.org·11h
🔺Geometric Learning
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Beyond Standard LLMs
👁️Vision Transformers
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Neuromorphic Computing: Building Brain-Inspired Processors to Revolutionize Technology
thetasvibe.blogspot.com·1d
🔍Grad-CAM
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Logic-informed reinforcement learning for cross-domain optimization of large-scale cyber-physical systems
arxiv.org·11h
🧠OpenAI
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Resource-Efficient and Robust Inference of Deep and Bayesian Neural Networks on Embedded and Analog Computing Platforms
arxiv.org·5d
🤖Machine learning
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A Hybrid Deep Learning and Forensic Approach for Robust Deepfake Detection
arxiv.org·1d
🔍Grad-CAM
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A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis
arxiv.org·11h
🔍Grad-CAM
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Enhancing riverine cyanobacterial bloom prediction: A hybrid deep learning approach combining wavelet decomposition, double-layer LSTM, ARIMA, and residual comp...
sciencedirect.com·1h
🔬scikit-learn
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Physics-Informed Neural Network Frameworks for the Analysis of Engineering and Biological Dynamical Systems Governed by Ordinary Differential Equations
arxiv.org·11h
🔍Grad-CAM
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Spiking Neural Networks: The Future of Brain-Inspired Computing
arxiv.org·1d
👁️Vision Transformers
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Panther: A Cost-Effective Privacy-Preserving Framework for GNN Training and Inference Services in Cloud Environments
arxiv.org·11h
🧠OpenAI
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AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
arxiv.org·11h
🧠OpenAI
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How Transformer Models Detect Anomalies in System Logs
hackernoon.com·22h
🔬scikit-learn
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Machine Learning Fundamentals: Everything I Wish I Knew When I Started
🤖Machine learning
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Study on Supply Chain Finance Decision-Making Model and Enterprise Economic Performance Prediction Based on Deep Reinforcement Learning
arxiv.org·11h
🔬scikit-learn
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