A QOJ week
⚙algorithms
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Chaos-inspired active learning for physics-informed neural networks to assess the reliability of multi-state systems
sciencedirect.com·5h
🤖AI
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One-Second Voice-to-Voice Latency with Modal, Pipecat, and Open Models
modal.com·1d
🤖AI
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Disassembling Terabytes of Random Data with Zig and Capstone to Prove a Point
🗂data structures
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I tried to go with Google's Flow, but it's a creative gamble — I'm not falling for it
androidpolice.com·1d
🖼Graphics programming
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From Swift to Mojo and high-performance AI Engineering with Chris Lattner
newsletter.pragmaticengineer.com·5h
🔧Compiler Design
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Can Conversational AI Counsel for Change? A Theory-Driven Approach to Supporting Dietary Intentions in Ambivalent Individuals
arxiv.org·16h
🤖AI
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Show HN: Refusal-Aware Logical Framework for LLMs
🤖AI
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Balancing Cost, Power, and AI Performance
oreilly.com·1d
🔧Compiler Design
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Comparative Analysis of Discrete and Continuous Action Spaces in Reservoir Management and Inventory Control Problems
arxiv.org·16h
🎮Game Engines
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Logic point entities (Sourcelike)
🎮Game Engines
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