Beyond Broca: The Two Routes to Speaking
psychologytoday.comยท15h
๐Ÿ’ฌNLP
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Moving regression artificial neural network framework for reliability evaluation of complex structure/system
sciencedirect.comยท1h
๐Ÿ”งEmbedded Rust
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Region-Aware Reconstruction Strategy for Pre-training fMRI Foundation Model
arxiv.orgยท11h
๐Ÿ“ŠEmbeddings
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What Are Auto-regressive Models? A Deep Dive and Typical Use Cases
blog.pangeanic.comยท1d
๐Ÿง AI
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
sebastianraschka.comยท1dยท
Discuss: r/LLM
๐Ÿ“ฑEdge AI
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Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization
arxiv.orgยท11h
๐Ÿ“ŠEmbeddings
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H-FA: A Hybrid Floating-Point and Logarithmic Approach to Hardware Accelerated FlashAttention
arxiv.orgยท11h
โšกZig
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Radar Trends to Watch: November 2025
oreilly.comยท4h
๐Ÿง AI
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A Thesis and Playbook for Edge AI
ondeviceguy.substack.comยท1dยท
Discuss: Substack
๐Ÿ“ฑEdge AI
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[R] We were wrong about SNNs. The bo.ttleneck isn't binary/sparsity, it's frequency.
reddit.comยท1dยท
๐Ÿ“ฑEdge AI
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Beyond Bandwidth: AI's Quantum Leap in Image Transmission
dev.toยท5hยท
Discuss: DEV
๐Ÿ“ฑEdge AI
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UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning
paperium.netยท1dยท
Discuss: DEV
๐Ÿ“ŠEmbeddings
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Probabilistic Robustness for Free? Revisiting Training via a Benchmark
arxiv.orgยท11h
๐Ÿ”„MLOps
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A Hybrid Deep Learning and Forensic Approach for Robust Deepfake Detection
arxiv.orgยท1d
๐Ÿ‘๏ธComputer Vision
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The Curvature Rate {\lambda}: A Scalar Measure of Input-Space Sharpness in Neural Networks
arxiv.orgยท11h
๐Ÿ“ฑEdge AI
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Hybrid channel attention network for auditory attention detection
nature.comยท1d
๐Ÿ’ฌNLP
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Learning Deformable Body Interactions With Adaptive Spatial Tokenization
machinelearning.apple.comยท16h
๐Ÿ“ฑEdge AI
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Neuromorphic Computing: Building Brain-Inspired Processors to Revolutionize Technology
thetasvibe.blogspot.comยท1d
๐Ÿ”ŒEmbedded Systems
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Deep Learning Models for Coral Bleaching Classification in Multi-Condition Underwater Image Datasets
arxiv.orgยท11h
๐Ÿ‘๏ธComputer Vision
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