AI Fatigue: Reflections on the Human Side of AI’s Rapid Advancement
cacm.acm.org·22h
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Thick practices for AI tools
lesswrong.com·3h
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Automated Biofluid Analysis for Early-Stage Cancer Detection via Multi-Modal Fusion and Bayesian Inference
dev.to·7h·
Discuss: DEV
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RAG vs CAG vs MCP: The Next Evolution in Machine Learning-Powered AI Systems
dev.to·9h·
Discuss: DEV
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EmoBang: Detecting Emotion From Bengali Texts
arxiv.org·12h
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AI In Test Analytics: Promise Vs. Reality
semiengineering.com·8h
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Garbage In, Garbage Out: The Case for Better Robot Data Understanding
huggingface.co·1d·
Discuss: Hacker News
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RRTS Dataset: A Benchmark Colonoscopy Dataset from Resource-Limited Settings for Computer-Aided Diagnosis Research
arxiv.org·12h
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A Picture is Worth a Thousand (Correct) Captions: A Vision-Guided Judge-Corrector System for Multimodal Machine Translation
arxiv.org·12h
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How Bias Binds: Measuring Hidden Associations for Bias Control in Text-to-Image Compositions
arxiv.org·12h
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Google-MedGemma Based Abnormality Detection in Musculoskeletal radiographs
arxiv.org·12h
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Adaptive AI: Making Edge Inference Smart and Fast by Arvind Sundararajan
dev.to·20h·
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**Real-time Object Localization using Edge AI**
dev.to·2d·
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Real-Time Bundle Adjustment for Ultra-High-Resolution UAV Imagery Using Adaptive Patch-Based Feature Tracking
arxiv.org·12h
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Inclusion of Role into Named Entity Recognition and Ranking
arxiv.org·12h
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Title: A Tale of Two Transformers: Evaluating the Efficacy o
dev.to·2d·
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Hardware is the New Salt: AI and the Human-Centered World of Product Design
core77.com·1h
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FineVision: Open Data Is All You Need
dev.to·1d·
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