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The model underlying R-hat and a Bayesian estimator
statmodeling.stat.columbia.edu·13h
📊Quantitative Finance
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Supercharging AI Model Building: Data and Task Parallelism with Ray and Databricks
databricks.com·13h
🌐Distributed Systems
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Accumulating Context Changes the Beliefs of Language Models
lm-belief-change.github.io·1d·
Discuss: Hacker News
💬NLP
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MichaelAI vs. CogniFlow: A Developer's No-BS Guide to Enterprise AI Platforms
getmichaelai.com·21h·
Discuss: DEV
💬NLP
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Reflection
alexpolozov.com·14h·
Discuss: Hacker News
🤖AI Research
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Radar Trends to Watch: November 2025
oreilly.com·2d
🤖AI Research
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Can AI See the World Like a Cat? Probing Deep Learning's Feline Understanding
dev.to·1d·
Discuss: DEV
🤖AI Research
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<p>**Abstract:** This paper details a novel system, Advanced Hydrothermal Vent Ecosystem Emulation via Multi-Modal Data Assimilation and Reinforcement Learning ...
freederia.com·11h
🎯Reinforcement Learning
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Coordination-Free Lane Partitioning for Convergent ANN Search
arxiv.org·4h
👁️Computer Vision
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The Peril of Preference: Why GRPO fails on Ordinal Rewards
arxiv.org·4h
🎯Reinforcement Learning
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Unlocking the Brain of AI: How Neural Networks Are Changing Everything
dev.to·1d·
Discuss: DEV
👁️Computer Vision
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Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery
arxiv.org·4h
👁️Computer Vision
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The Curved Spacetime of Transformer Architectures
arxiv.org·1d·
Discuss: Hacker News
💬NLP
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Generative Artificial Intelligence in Bioinformatics: A Systematic Review of Models, Applications, and Methodological Advances
arxiv.org·1d
🤖AI Research
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Building Altruistic and Moral AI Agent with Brain-inspired Emotional Empathy Mechanisms
arxiv.org·4h
🤖AI Research
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Decoupling Augmentation Bias in Prompt Learning for Vision-Language Models
arxiv.org·1d
👁️Computer Vision
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Robinhood’s bet on prediction markets is paying off. Here’s how they work.
finance.yahoo.com·16h
📈Trading
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DecoHD: Decomposed Hyperdimensional Classification under Extreme Memory Budgets
arxiv.org·4h
👁️Computer Vision
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<p>**Abstract:** This research proposes a novel framework, Longitudinal Multi-Omic Reinforcement Learning (L-MO-RL), for hyper-personalized cardiovascular risk ...
freederia.com·22m
🎯Reinforcement Learning
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Bridging the Digital Divide: Automated Accessibility Assessment via Semantic Graph Analysis of Educational Content
dev.to·13h·
Discuss: DEV
💬NLP
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