Show HN: I built an edge ML system to detect and classify trick-or-treaters
👁️Computer Vision
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Research Bits: Nov. 4
semiengineering.com·1d
👁️Computer Vision
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original ↗
manton.org·1d
🤖AI
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The Work of AI, Ourselves
⛓️LangChain
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Casing Collar Identification using AlexNet-based Neural Networks for Depth Measurement in Oil and Gas Wells
arxiv.org·1d
👁️Computer Vision
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Cyclic Proofs for iGL via Corecursion
arxiv.org·9h
⛓️LangChain
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Olfactory spatial memory: a systematic review and meta-analysis
nature.com·1d
👁️Computer Vision
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What is ‘artificial intelligence,’ anyway? The confusion is the point
halifaxexaminer.ca·1d
🤖AI
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Researchers Find ChatGPT Vulnerabilities That Let Attackers Trick AI Into Leaking Data
thehackernews.com·38m
⛓️LangChain
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Automated Simulation Anomaly Detection via Multi-Modal Graph Analysis and Reinforcement Learning
📈Model Evaluation
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SpatialTraceGen: High-Fidelity Traces for Efficient VLM Spatial Reasoning Distillation
arxiv.org·1d
🚀MLOps
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Identification of Capture Phases in Nanopore Protein Sequencing Data Using a Deep Learning Model
arxiv.org·1d
🧠Machine Learning
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Temporal Fusion Transformer for Multi-Horizon Probabilistic Forecasting of Weekly Retail Sales
arxiv.org·1d
📊Data Science
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Medical Report Generation: A Hierarchical Task Structure-Based Cross-Modal Causal Intervention Framework
arxiv.org·9h
👁️Computer Vision
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LongCat-Flash-Omni Technical Report
arxiv.org·1d
⚙️Model Fine-tuning
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FedReplay: A Feature Replay Assisted Federated Transfer Learning Framework for Efficient and Privacy-Preserving Smart Agriculture
arxiv.org·1d
👁️Computer Vision
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Some thoughts on AI and coding
infoworld.com·5h
🤖AI
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