Fully-Specified Algorithms for JOSE and COSE is now RFC 9864
self-issued.info·1h
🔑Cryptographic Protocols
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AI Experiments: Fast Inference with Groq and Third-Party Tools with Kimi K2 in TypingMind
macstories.net·3h
🌀Brotli Dictionary
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BRONZE BUTLER exploits Japanese asset management software vulnerability
news.sophos.com·5h
🌐DNS Security
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Issue 496
haskellweekly.news·11h
🔗Functional Compilers
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Key Emerging Cybersecurity Threats and Challenges for 2025 and Beyond
rapid7.com·2d
🎯Threat Hunting
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Hierarchical Physics-Embedded Learning for Spatiotemporal Dynamical Systems
arxiv.org·19h
✨Effect Handlers
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Building Intelligent Multi-Agent Systems with Context-Aware Coordination
dev.to·20h·
Discuss: DEV
✨Algebraic Effects
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Unsupervised Machine-Learning Pipeline for Data-Driven Defect Detection and Characterisation: Application to Displacement Cascades
arxiv.org·1d
💾Floppy Imaging
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Parallel Test-Time Scaling for Latent Reasoning Models
dev.to·1d·
Discuss: DEV
🧠Intelligence Compression
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Beyond Models: A Framework for Contextual and Cultural Intelligence in African AI Deployment
arxiv.org·19h
🌍Cultural Algorithms
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Accelerated Core Black Hole Accretion Modeling via Bayesian Hierarchical Neural Networks
dev.to·14h·
Discuss: DEV
🧠Learned Codecs
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Boundaries of Acceptable Defectiveness: Redefining Surface Code Robustness under Heterogeneous Noise
arxiv.org·2d
⚛️Quantum Error Correction
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Unleash AI Performance: How Chiplets and Smart Networks Are Democratizing Custom Silicon by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
🖥️Hardware Architecture
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Friday 21 November - 11am
informatics.ed.ac.uk·12h
💻Programming languages
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2025 Component Abuse Challenge: A Bistable Flip-Flop With A Fuse
hackaday.com·2d
⚡Circuit Design
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Unit-free theorem pinpoints key variables for AI and physics models
phys.org·1d
📊Quantization
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Dual-Mind World Models: A General Framework for Learning in Dynamic Wireless Networks
arxiv.org·1d
🧠Machine Learning
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Is This the Final Stage of AI? My Journey Toward Building a Digital Mind
dev.to·3h·
Discuss: DEV
🔲Cellular Automata
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Light-Activated Protein Engineering for High-Throughput Synthetic Cellular Assays
dev.to·2d·
Discuss: DEV
🌊Stream Processing
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Mechanistic Interpretability of RNNs emulating Hidden Markov Models
arxiv.org·19h
🧠Machine Learning
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