“Science Comics Computers: How Digital Hardware Works”
doctorow.medium.com·3h
💾Retro Computing
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HackedGPT: Novel AI Vulnerabilities Open the Door for Private Data Leakage
tenable.com·9h
🛡️AI Security
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[Talk] Improving the Incremental System in the Rust Compiler
blog.goose.love·1d
🔨Incremental Compilation
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Back EMF and electric motors: From fundamentals to real-world applications
edn.com·6h
🎛️Microcontrollers
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My PC was eating 90% of my RAM — I couldn't believe what actually fixed it
xda-developers.com·8h
🧠Memory Management
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BIASNN: a biologically inspired attention mechanism in spiking neural networks for image classification
nature.com·20h
🔬Deep Learning
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v2.0.11: ## Major changes in 2.0
github.com·1d
🌱BonsaiDb
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DDR5 speeds hit 13,576 MT/s as overclockers trade records in hours
techspot.com·1d
📊Profiling Tools
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Building media server / self-hosted Immich machine with old-ish gaming PC spare parts. Which CPU and case are best, energy consumption wise?
🏠Self-hosting
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A Soft‑Fork Proposal for Blockchain‑Based Distributed AI Computation
hackernoon.com·2d
⛓️Blockchain
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AI Energy Score
📱Edge AI
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Beyond Standard LLMs
🤖Transformers
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Intel's killed-off BMG-X3/X4 GPUs: 3D stacked die, up to 40 GPU cores, 512MB Adamantine cache
tweaktown.com·2d
⚡Hardware Acceleration
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From Postgres to Iceberg
🗄️Databases
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TIL: For long-lived LLM sessions, swapping KV Cache to RAM is ~10x faster than recalculating it. Why isn't this a standard feature?
🏗️NUMA
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A unified threshold-constrained optimization framework for consistent and interpretable cross-machine condition monitoring
sciencedirect.com·4d
🔍eBPF
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Writing an LLM from scratch, part 27 – what's left, and what's next?
💬Prompt Engineering
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I'd love to see this one laptop feature on all motherboards
xda-developers.com·1d
🔐Hardware Security
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