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Toward Patch Robustness Certification and Detection for Deep Learning Systems Beyond Consistent Samples
arxiv.org·8h
🧪Binary Fuzzing
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Microarchitectural Modeling in the Era of Accelerator-Rich Systems and Computing at Scale
sigarch.org·22h
🖥️Hardware Architecture
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Energy efficiency task scheduling algorithm for multi-core embedded platforms
sciencedirect.com·1d·
Discuss: Hacker News
🖥️Hardware Architecture
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Dynamic Boolean Synthesis with Zero-suppressed Decision Diagrams
arxiv.org·8h
⚙️Logic Synthesis
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Neopixel Giant Edition
hackster.io·9h
⚙️DIY Electronics
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AI should only run as fast as we can catch up
higashi.blog·20h·
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⚙️Proof Engineering
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A 33.6-136.2 TOPS/W Nonlinear Analog Computing-In-Memory Macro for Multi-bit LSTM Accelerator in 65 nm CMOS
arxiv.org·8h
Homebrew CPUs
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Redefining Reliability: Thanvi’s Framework for DNS Security, Automation, and Zero-Failure Systems
hackernoon.com·6h
🌐DNS Security
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Manual Testing Unlocked: Techniques, Test Design Strategies & the Future of QA with AI
dev.to·20h·
Discuss: DEV
🔍Concolic Testing
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Quantum Tech Hits Its “Transistor Moment,” Scientists Say
scitechdaily.com·14h
⚛️Quantum Tape
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Beginning testing of new PCB for 1130 MRAM board
rescue1130.blogspot.com·1d·
Circuit Archaeology
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Advent of Code 2025 in Lean 4 – Day 8
hamberg.no·1d
🦀Rust Macros
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What We Take For Granted
sin-ack.github.io·1d
⚙️Build Archaeology
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Compiler Engineering in Practice – Part 1: What Is a Compiler?
chisophugis.github.io·1d·
Discuss: Hacker News
🏗️Compiler Archaeology
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Engineering the Continuum: From Distributed Convergence to 16 Constructs for AI-Native Network Evolution
cacm.acm.org·18h
🖥️Self-hosted Infrastructure
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Stack Overflow: Challenge #14 Signal from Noise
stackoverflow.com·4h·
Discuss: Hacker News
💾Binary codes
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Reliable AWS Lambda Data Pipelines with AsyncAPI Specification • Hari Krishnan • GOTO 2025
youtube.com·1d
🌊Streaming Systems
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Bridging the gaps between protocol specifications and practice
blog.apnic.net·4d
🌐NetworkProtocols
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Theory and AI Alignment
scottaaronson.blog·2d
🔲Cellular Automata
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Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood
arxiv.org·8h
🧪Binary Fuzzing
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