You Aren't in the DSM
asteriskmag.com·2d·
Discuss: Hacker News
🔍Archive Semantics
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The New Conspiracy Age
technologyreview.com·1d·
Discuss: Hacker News
🏺Media Archaeology
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No Cap, This Memory Slaps: Breaking Through the OLTP Memory Wall
danglingpointers.substack.com·1d·
Discuss: Substack
⚡Hardware Transactional Memory
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Signal’s Post-Quantum Cryptographic Implementation
schneier.com·2d·
Discuss: Hacker News
🔐Quantum Security
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Government data leaks can be a matter of life and death
the-independent.com·16h
🔍Polish Cryptanalysis
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Palestinian militants hand over 2 coffins with remains of hostages to Red Cross in Gaza
the-independent.com·1d
🔍Polish Cryptanalysis
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Java Generics and Collections • Maurice Naftalin & Stuart Marks • GOTO 2025
youtube.com·1d
λLambda Formalization
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The new identity paradigm must be hybrid, not just human
techradar.com·1d
🎫Kerberos History
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Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target Generation
arxiv.org·13h
🧠Machine Learning
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Building a Rules Engine from First Principles
towardsdatascience.com·23h
🔗Combinatory Logic
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My ML Learning Journey: From Confusion to Building a Working Model
dev.to·11h·
Discuss: DEV
🧠Machine Learning
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Empowering RepoQA-Agent based on Reinforcement Learning Driven by Monte-carlo Tree Search
arxiv.org·13h
🔄Reproducible Builds
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Don't Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation
arxiv.org·13h
🎯Gradual Typing
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StreetMath: Study of LLMs' Approximation Behaviors
arxiv.org·13h
💻Local LLMs
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Localized Kernel Projection Outlyingness: A Two-Stage Approach for Multi-Modal Outlier Detection
arxiv.org·2d
🧠Machine Learning
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FIAT/IFTA World Conference 2026
fiatifta.org·1h
🎞️Video Archives
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TokenCLIP: Token-wise Prompt Learning for Zero-shot Anomaly Detection
arxiv.org·4d
🗜️LZW Variants
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Defeating the Cloudflare 5s Challenge: A Developer's Guide to Scalable Automation
dev.to·1d·
Discuss: DEV
⚡Proof Automation
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Accurate and Scalable Multimodal Pathology Retrieval via Attentive Vision-Language Alignment
arxiv.org·3d
🧮Vector Embeddings
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U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching
arxiv.org·1d
🌀Riemannian Computing
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