An introduction to program synthesis (Part II) - Automatically generating features for machine learning
mchav.github.io·1d·
Discuss: r/programming
🤖Machine Learning
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Towards Humanist Superintelligence
microsoft.ai·8h·
Discuss: Hacker News
🤖AI
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DS-STAR: A state-of-the-art versatile data science agent
research.google·4h
📊Data Science
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Building Data Pipelines That Keep GPUs Fed During LLM Training
pub.towardsai.net·35m
🔬Julia Language
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Essential Chunking Techniques for Building Better LLM Applications
machinelearningmastery.com·11h
📈Optimization
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SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration
arxiv.org·17h
🤖Machine Learning
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<p>**Abstract:** Predicting paracellular drug absorption—the passage of drugs between cells—is a critical, yet challenging, aspect of ADME (Absorption, Distribu...
freederia.com·2h
🤖Machine Learning
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AI Turns Brain Scans Into Full Sentences and It’s Eerie To Say The Least
zmescience.com·7h
🤖AI
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Marketers: Stop Anthropomorphizing AI, Learn What It Actually Does Under the Hood
cmswire.com·9h
🤖AI
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Neuromorphic Computing: The Brain-Inspired Revolution Transforming AI
eproductempire.blogspot.com·17h
👁️Computer Vision
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AI Safety at the Frontier: Paper Highlights of October 2025
lesswrong.com·1d
🤖AI
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Going Beyond Expert Performance via Deep Implicit Imitation Reinforcement Learning
arxiv.org·17h
🤖AI
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Enhanced Intrusion Detection via Adaptive Ensemble of Federated Generative Adversarial Networks
dev.to·1d·
Discuss: DEV
📡Signal Processing
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Post-training methods for language models
developers.redhat.com·2d
🤖Machine Learning
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The New Optimization Stack: Where SEO Meets AI Retrieval via @sejournal, @DuaneForrester
searchenginejournal.com·8h
📈Optimization
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The Self-Organizing AI: Can Machines Learn to 'Feel' Their Way to Success? by Arvind Sundararajan
dev.to·19h·
Discuss: DEV
🤖AI
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A Quantized VAE-MLP Botnet Detection Model: A Systematic Evaluation of Quantization-Aware Training and Post-Training Quantization Strategies
arxiv.org·17h
🤖Machine Learning
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How to Use AI to Teach You AI (Without Getting Lost)
dev.to·1d·
Discuss: DEV
🤖AI
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Deep Value Benchmark: Measuring Whether Models Generalize Deep values or Shallow Preferences
arxiv.org·1d
🤖AI
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Observer-based neural networks for flow estimation and control
arxiv.org·17h
👁️Computer Vision
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