AI and learning: A new chapter for students and educators
blog.googleยท2d
๐Ÿ”AI Detection
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Co-Optimizing GPU Architecture And SW To Enhance Edge Inference Performance (NVIDIA)
semiengineering.comยท3d
๐Ÿ“ŠColumnar Engines
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Building our geospatial database in production
radar.comยท3dยท
Discuss: Hacker News
โš™๏ธDatabase Internals
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Building a highly-available web service without a database
screenshotbot.ioยท3dยท
Discuss: r/programming
๐ŸงŠIceberg Tables
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Capacity Review: The AI Workflow Engine That Understands Vibe Coding (2025)
danielkliewer.comยท3dยท
Discuss: Hacker News
โŒจ๏ธText Editors
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Hierarchical Chromosome Segmentation via Adaptive Spectral Graph Convolutional Networks
dev.toยท6dยท
Discuss: DEV
๐ŸงญVector Databases
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99% of People Use AI Wrong โ€” Hereโ€™s How I Actually Learn and Remember Faster
dev.toยท5dยท
Discuss: DEV
๐Ÿ—‚๏ธObsidian
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Expertise and confidence explain how social influence evolves along intellective tasks
arxiv.orgยท3d
๐ŸŽฒGame Theory
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Building a Scalable API Event Logger using Pub/Sub, and BigQuery
dev.toยท5dยท
Discuss: DEV
๐ŸŒŠApache Flink
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Engineering Enterprise-Grade Context: Making the Model Context Protocol (MCP) Viable for Financial Services
dev.toยท2dยท
Discuss: DEV
โšกDataFusion
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Building WriteRight: My Journey Creating an AI Writing Assistant with Mastra
dev.toยท4dยท
Discuss: DEV
๐Ÿ“‹Tokei
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Federated Learning in 2025: What You Need to Know
dev.toยท7hยท
Discuss: DEV
๐Ÿ”„Feed Aggregation
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Book review: โ€œBuild a DeepSeek Model (From Scratch)โ€
dev.toยท13hยท
Discuss: DEV
๐Ÿ“ŠColumnar Engines
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Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities
arxiv.orgยท3d
๐Ÿ“ŠColumnar Engines
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Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm EnablesFine-Grained Policy Optimization
paperium.netยท6dยท
Discuss: DEV
๐ŸŽฎReinforcement Learning
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BoolSkel: Unlocking Boolean Network Efficiency Through Structural Pruning by Arvind Sundararajan
dev.toยท3dยท
Discuss: DEV
๐Ÿ“ŠColumnar Engines
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From data to corpus: semiotic and documentary issues in audiovisual archives
arxiv.orgยท1d
๐Ÿ—œ๏ธArchive Compression
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Complex QA and language models hybrid architectures, Survey
arxiv.orgยท4d
๐Ÿ”„Feed Aggregation
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