Hierarchical Data, Scientific Computing, Large Files, Genomics Storage

GPT-4 Functions as Monoidal Structures: Sequential โˆ˜ and Parallel โŠ—
lightcapai.medium.comยท1dยท
Discuss: Hacker News
๐Ÿ”—Markov Chains
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Benchmarking the Most Reliable Document Parsing API
tensorlake.aiยท1dยท
Discuss: Hacker News
๐Ÿ“„FASTQ
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Show HN: Kumi โ€“ a portable, declarative, functional core for business logic
kumi-play-web.fly.devยท2dยท
Discuss: Hacker News
๐Ÿš€Streamlit
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๐ŸŽฒ Container Escapes 101 - Kernel resource sharing
some-natalie.devยท14h
๐Ÿ“„FASTQ
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How Datadog Built a Custom Database to Ingest Billions of Metrics Per Second
blog.bytebytego.comยท3d
๐Ÿฆ†DuckDB
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Explosive AI buildout brings into question water supply concerns โ€” exploring how data centers could curb water demands
tomshardware.comยท8h
๐Ÿ”ฒZarr
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Ramesh Inalaโ€™s AI Blueprint for Scalable Financial Data Ecosystems
hackernoon.comยท1d
๐Ÿ—บ๏ธNetwork Visualization
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Building an alerts feature for high-frequency, structured datasets - looking for feedback on approach
reddit.comยท7hยท
Discuss: r/webdev
๐Ÿฆ†DuckDB
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AIโ€‘driven photonic noses: from conventional sensors to cloudโ€‘to-edge intelligent microsystems
nature.comยท20h
๐Ÿ“„FASTQ
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Autonomous Lunar Regolith Processing via Modular Robotic Swarms & AI-Driven Resource Allocation
dev.toยท10hยท
Discuss: DEV
โ›ฐ๏ธGradient Descent
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This NotebookLM alternative automatically organizes my files and inbox for me
xda-developers.comยท1d
๐Ÿ”ฒZarr
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Distributed Media Inferencing with Kafka
github.comยท1dยท
Discuss: DEV
๐Ÿ“ฆPseudobulk
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Perplexity shows how to run monster AI models more efficiently on aging GPUs, AWS networks
go.theregister.comยท2d
๐Ÿ”ฒZarr
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Confused about my specific use case of RAID
reddit.comยท18hยท
Discuss: r/homelab
๐Ÿ”ฒZarr
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MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning
arxiv.orgยท2d
๐Ÿ”ขEmbeddings
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Sable and Able: A Tale of Two ASIs
lesswrong.comยท2d
๐Ÿฆ Whole cell model
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Moonshot's Kimi K2 Thinking emerges as leading open source AI, outperforming GPT-5, Claude Sonnet 4.5 on key benchmarks
venturebeat.comยท1d
๐Ÿ”ฒZarr
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Auditing M-LLMs for Privacy Risks: A Synthetic Benchmark and Evaluation Framework
arxiv.orgยท1d
๐Ÿ”ฒZarr
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