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AI detects hidden objects on chest scans better than radiologists
medicalxpress.com·2h
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Leverage data to contextualize competitive construction
constructiondive.com·1d
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Explaining Financial Models by Deleting Transactions
building.nubank.com·1h
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Mastering llama.cpp: A Comprehensive Guide to Local LLM Integration
danielkliewer.com·7h·
Discuss: r/LocalLLaMA
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The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or an LLM (Explained with One Example)
towardsdatascience.com·1d
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Enhanced UWB Radar Signal Processing via Adaptive Sparse Learning with Hybrid Spectral Decomposition
dev.to·2d·
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Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
arxiv.org·1d
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Automated Gravitational Lensing Anomaly Detection & Galactic Mass Profiling via Hyperdimensional Feature Extraction
dev.to·4d·
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Setting up Linagora’s OpenRAG locally
dev.to·4h·
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Bayesian Uncertainty Quantification with Anchored Ensembles for Robust EV Power Consumption Prediction
arxiv.org·1d
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Designing a test battery for real-world visual search
nature.com·1d
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Explainable Probabilistic Machine Learning for Predicting Drilling Fluid Loss of Circulation in Marun Oil Field
arxiv.org·1d
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Building an ML Language from Scratch: Introducing Charl
dev.to·2d·
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NILC: Discovering New Intents with LLM-assisted Clustering
arxiv.org·1d
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Consistency Is Not Always Correct: Towards Understanding the Role of Exploration in Post-Training Reasoning
arxiv.org·1d
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FlowFeat: Pixel-Dense Embedding of Motion Profiles
arxiv.org·13h
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TAI #178: Kimi K2 Thinking Steals the Open-Source Crown With a New Agentic Contender
pub.towardsai.net·1d
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Analysing Environmental Efficiency in AI for X-Ray Diagnosis
arxiv.org·13h
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Anchors in the Machine: Behavioral and Attributional Evidence of Anchoring Bias in LLMs
arxiv.org·1d
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EMOD: A Unified EEG Emotion Representation Framework Leveraging V-A Guided Contrastive Learning
arxiv.org·1d
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