Self-Supervised Moving Object Segmentation of Sparse and Noisy Radar Point Clouds
arxiv.org·1h
👁️Computer Vision
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A Cognitive Process-Inspired Architecture for Subject-Agnostic Brain Visual Decoding
arxiv.org·1h
👁️Computer Vision
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Tackling Incomplete Data in Air Quality Prediction: A Bayesian Deep Learning Framework for Uncertainty Quantification
arxiv.org·1h
📱Edge AI
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Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization
arxiv.org·1d
📊Embeddings
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Attention ISN'T all you need?! New Qwen3 variant Brumby-14B-Base leverages Power Retention technique
venturebeat.com·10h
🧠AI
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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·1d
📱Edge AI
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H-FA: A Hybrid Floating-Point and Logarithmic Approach to Hardware Accelerated FlashAttention
arxiv.org·1d
⚡Zig
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Radar Trends to Watch: November 2025
oreilly.com·18h
🧠AI
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Region-Aware Reconstruction Strategy for Pre-training fMRI Foundation Model
arxiv.org·1d
📊Embeddings
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Energy Loss Functions for Physical Systems
arxiv.org·1h
⚙Systems Programming
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Adapting Self-Supervised Representations as a Latent Space for Efficient Generation
machinelearning.apple.com·1d
📱Edge AI
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[R] We were wrong about SNNs. The bo.ttleneck isn't binary/sparsity, it's frequency.
📱Edge AI
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LGCC: Enhancing Flow Matching Based Text-Guided Image Editing with Local Gaussian Coupling and Context Consistency
arxiv.org·1h
👁️Computer Vision
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Probabilistic Robustness for Free? Revisiting Training via a Benchmark
arxiv.org·1d
🔄MLOps
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A Hybrid Deep Learning and Forensic Approach for Robust Deepfake Detection
arxiv.org·2d
👁️Computer Vision
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The Curvature Rate {\lambda}: A Scalar Measure of Input-Space Sharpness in Neural Networks
arxiv.org·1d
📱Edge AI
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What Are Auto-regressive Models? A Deep Dive and Typical Use Cases
blog.pangeanic.com·1d
🧠AI
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