REVEAL: A large-scale comprehensive image dataset for steganalysis
sciencedirect.com·1d
🕵️Steganographic Archives
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Stochastic computing
scottlocklin.wordpress.com·3h
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
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Show HN: Hot or Slop – Visual Turing test on how well humans detect AI images
hotorslop.com·17h·
Discuss: Hacker News
📊Learned Metrics
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Daily Artificial Intelligence Digest - Oct 31, 2025
dev.to·18h·
Discuss: DEV
🤖Advanced OCR
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Advanced Threat Protection (ATP): An Ultimate Guide for Modern SOCs
vmray.com·5h
🛡️eBPF Security
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Advancing cybersecurity a comprehensive review of AI-driven detection techniques
journalofbigdata.springeropen.com·2d·
Discuss: Hacker News
🎯Threat Hunting
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Your Transformer is Secretly an EOT Solver
elonlit.com·15h·
Discuss: Hacker News
🧮Kolmogorov Complexity
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When AI Agents Go Rogue: Agent Session Smuggling Attack in A2A Systems
unit42.paloaltonetworks.com·10h
🕵️Vector Smuggling
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Building a Rules Engine from First Principles
towardsdatascience.com·1d
🔗Combinatory Logic
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Enhancing ECG Classification Robustness with Lightweight Unsupervised Anomaly Detection Filters
arxiv.org·16h
🧠Machine Learning
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Automated Verification of Multi-Modal Scientific Data Integrity through Hyperdimensional Cognitive Mapping
dev.to·4h·
Discuss: DEV
📰Content Curation
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Unlocking Neural Network Secrets: The Geometric Awakening by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
🌀Differential Geometry
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Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning
arxiv.org·16h
🧠Machine Learning
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Scalable Knowledge Graph Embedding via Adaptive Dimensionality Reduction & Multi-Objective Optimization
dev.to·10h·
Discuss: DEV
🕸️Graph Embeddings
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Study: AI Models Trained On Clickbait Slop Result In AI ‘Brain Rot,’ ‘Hostility’
techdirt.com·7h·
Discuss: r/technews
📊Feed Optimization
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Neural active manifolds: nonlinear dimensionality reduction for uncertainty quantification
arxiv.org·16h
🌀Riemannian Computing
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A Minimal Route to Transformer Attention
neelsomaniblog.com·1d·
Discuss: Hacker News
🧮Vector Embeddings
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Fitting KNN: From Overfit to Underfit and Everything Between
dev.to·1d·
Discuss: DEV
📊Learned Metrics
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