These are the tools we use to build and maintain our precious tech, and they're on sale for Amazon Prime Day
tomshardware.comยท16h
๐ŸŽฎSwitch Archaeology
Detection Engineering: Practicing Detection-as-Code โ€“ Monitoring โ€“ Part 7
blog.nviso.euยท2h
๐ŸšจIncident Response
A PhD in Snapshots
rbharath.github.ioยท1dยท
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๐Ÿง Machine Learning
Dark Engagement
zakelfassi.comยท21hยท
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โš–๏ธFeed Ranking
You Don't Argue Against Descartes, You Supersede Him Through Implementation
bitcoin-zero-down-2ea152.gitlab.ioยท19hยท
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โš™๏ธsystems theory
AI Video Overview
idiallo.comยท13hยท
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๐Ÿค–AI Curation
The Next Computing Revolution: Bringing Processing Inside Memory
computer.orgยท13hยท
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โšกHardware Transactional Memory
Property-based testing of batch-invariant operations
mmaaz.caยท1dยท
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๐ŸงชProperty-Based Testing
Detecting Distillation Data from Reasoning Models
arxiv.orgยท6h
โš™๏ธABNF Mining
Quantum capacity amplification via privacy
arxiv.orgยท6h
โš›๏ธQuantum Compression
Understanding Retrieval Augmentation for Long-Form Question Answering
arxiv.orgยท6h
๐Ÿ”Information Retrieval
When AI Turns Culture into Slop
link.springer.comยท22hยท
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๐Ÿ›Digital humanities
RainSeer: Fine-Grained Rainfall Reconstruction via Physics-Guided Modeling
arxiv.orgยท1d
๐Ÿ“กInformation theory
ELMF4EggQ: Ensemble Learning with Multimodal Feature Fusion for Non-Destructive Egg Quality Assessment
arxiv.orgยท1d
๐Ÿง Machine Learning
ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation
arxiv.orgยท6h
๐Ÿ”Homomorphic Encryption
An Senegalese Legal Texts Structuration Using LLM-augmented Knowledge Graph
arxiv.orgยท1d
๐Ÿ“‹Document Grammar
Assessing NBTI Degradation Mitigation via Stochastic Gradient Descent on Multi-Layered Transistor Data
dev.toยท15hยท
Discuss: DEV
๐Ÿ›ก๏ธError Boundaries
Certifiable Safe RLHF: Fixed-Penalty Constraint Optimization for Safer Language Models
arxiv.orgยท6h
๐Ÿ”—Parser Combinators
From Actions to Kinesics: Extracting Human Psychological States through Bodily Movements
arxiv.orgยท6h
๐Ÿ“ŠLearned Metrics
From Moments to Models: Graphon Mixture-Aware Mixup and Contrastive Learning
arxiv.orgยท6h
๐Ÿง Machine Learning