Colts, Cowboys created trade-deadline fireworks, but have their playoff hopes improved?
nytimes.comยท26m
๐Ÿ”„ONNX
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Upgrading the homelab
preview.redd.itยท1dยท
Discuss: r/homelab
๐Ÿ—๏ธBuild Systems
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5 Lessons the Semiconductor Industry Can Learn from Gaming
semiwiki.comยท16h
โฑ๏ธCUDA Events
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Petri Dish Neural Cellular Automata
pub.sakana.aiยท1dยท
Discuss: Hacker News
๐Ÿ”—NCCL
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Scaling up Prime Video monitoring service reduced costs 90% (archive) (2023)
web.archive.orgยท2dยท
Discuss: Hacker News
๐Ÿ—๏ธBuild Optimization
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Building our geospatial database in production
radar.comยท18hยท
Discuss: Hacker News
โšกONNX Runtime
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Friday 5 December 2025 - 11am
informatics.ed.ac.ukยท1d
๐ŸŽ“Model Distillation
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My computer has $18 million worth of RAM in it
aardvark.co.nzยท18h
โšกFlash Attention
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Why is AI Generated Rust slow when compared with Go/C#/Node/JavaScript
srid68.github.ioยท1dยท
Discuss: Hacker News
โœ‚๏ธCUTLASS
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Nature's resilience inspires an improved power grid
techxplore.comยท20m
๐Ÿš€MLOps
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Building And Validating FreeRTOS-Based Virtual ECUs: A Comprehensive Approach
semiengineering.comยท2h
๐Ÿ”งPTX
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Deploying to Amazon's cloud is a pain in the AWS younger devs won't tolerate
theregister.comยท1dยท
Discuss: Hacker News
๐Ÿš€MLOps
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Physics-driven self-supervised learning for 3D light-field microscopy
nature.comยท8hยท
Discuss: Hacker News
๐Ÿ‘๏ธAttention Optimization
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Rush to Build AI Data Centers Pushes Global Infrastructure to Limits
techrepublic.comยท1d
๐Ÿ”—NCCL
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The Art of Luminous Code: A Journey with Dynamic `import()` in Node.js
dev.toยท2dยท
Discuss: DEV
๐Ÿ’กLSP
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Multi-Sensor Distributed Hypothesis Testing in the Low-Power Regime
arxiv.orgยท2d
๐Ÿ”€Operator Fusion
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Quantum-Powered Privacy: Securing the IoT with Decentralized Anomaly Detection
dev.toยท13hยท
Discuss: DEV
๐Ÿ”—Kernel Fusion
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Continuous takeoff is a bad name
lesswrong.comยท10h
๐Ÿค–AI Coding Tools
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Enhanced Anomaly Detection in Cryogenic Storage Unit Operations via Multi-Modal Data Fusion and Predictive Analytics
dev.toยท2dยท
Discuss: DEV
โฑ๏ธBenchmarking
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Natural Building Blocks for Structured World Models: Theory, Evidence, and Scaling
arxiv.orgยท1d
๐Ÿ”„ONNX
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