High-speed and ultra-low-power superconductive neuron with ReLU activation
iopscience.iop.org·20h·
Discuss: Hacker News
⚛️Quantum Computing
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Building a Custom Calendar Generator with React/Next.js
calendar-vibe.com·11h·
Discuss: DEV
🌐Web Development
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Physics-driven self-supervised learning for 3D light-field microscopy
nature.com·10h·
Discuss: Hacker News
🔥PyTorch
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Mathematical exploration and discovery at scale
terrytao.wordpress.com·9h·
Discuss: Hacker News
🎯Hindley-Milner
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Changing the AI narrative from liberation to acceleration
idratherbewriting.com·16h·
Discuss: Hacker News
💬Prompt Engineering
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Understanding ARM-Based Android SBCs: Why They’re Shaping the Future of Embedded Computing
dev.to·10h·
Discuss: DEV
🔌Embedded Systems
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D2-UC: A Distributed-Distributed Quantum-Classical Framework for Unit Commitment
arxiv.org·8h
⚛️Quantum Computing
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H-FA: A Hybrid Floating-Point and Logarithmic Approach to Hardware Accelerated FlashAttention
arxiv.org·2d
Hardware Acceleration
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LazyLLM, Easiest and laziest way for building multi-agent LLMs applications
github.com·13h·
Discuss: Hacker News
💬Prompt Engineering
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A brief guide for those who slept (on AI) the last two years
github.com·21h·
Discuss: DEV
💬Prompt Engineering
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Pint: Python library that makes units easy
github.com·9h·
Discuss: Hacker News
🐍Python
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Migration Case: From Azkaban to DolphinScheduler
dev.to·4h·
Discuss: DEV
🤖Automation
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Running MiniMax-M2 locally - Existing Hardware Advice
reddit.com·1d·
Discuss: r/LocalLLaMA
🚀Performance
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NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers
arxiv.org·1d
🔢NumPy
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Beyond Standard LLMs
magazine.sebastianraschka.com·1d·
Discuss: Hacker News, r/LLM
🤖Transformers
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Why AI infrastructure and multi-platform compute strategy matters now?
dev.to·14h·
Discuss: DEV
Hardware Acceleration
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Cycle-accurate 6502 emulator as coroutine in Rust
github.com·4d·
🖥️Emulation
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Graph Neural AI with Temporal Dynamics for Comprehensive Anomaly Detection in Microservices
arxiv.org·8h
📱Edge AI
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Show HN: Polyglot standard library HTTP client C/C++/Rust/Python and benchmarks
github.com·2d·
🛡️Error Handling
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Dynamic Neuro-Network Resilience via Stochastic Gradient Amplification and Adaptive Sparsity (DNSAS)
dev.to·4h·
Discuss: DEV
🔬Deep Learning
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