Interpretable Early Failure Detection via Machine Learning and Trace Checking-based Monitoring
arxiv.org·2d
🎯Performance Proofs
Can We Build Trustable Hardware? (2019)
bunniestudios.com·7h·
Discuss: Hacker News
🔒Hardware Attestation
Explaining the Need for Strongly Happens Before in C++
nekrozqliphort.github.io·16h·
Discuss: Hacker News, r/cpp
✨Effect Handlers
A low-cost protocol enables preparation of magic states and fault-tolerant universal quantum computation
phys.org·9h
⚛️Quantum Error Correction
Breaking AI Testing Barriers: Dynamic Assertions and AI Automation Deliver 1000%+ Productivity Gains
engineering.salesforce.com·1d
🔍Concolic Testing
Formal Methods for Stellar DeFi: Verifying Lending Protocol with Certora Sunbeam Prover
blog.positive.com·2d
✅Format Verification
TaMaRa: Towards a Triple Modular Redundancy Pass for Yosys
blog.yosyshq.com·4d·
Discuss: Lobsters, Hacker News
🔍FPGA Verification
Future Research in XP Modeling: A Call for Self-Learning Models
hackernoon.com·1d
⚙️Operating System Design
Automated Anomaly Detection in Electrochemical Etching Microstructures via Multi-Modal Analysis
dev.to·1d·
Discuss: DEV
📄Document Digitization
A tiny firm wants to slash energy consumption by changing the way CPUs are designed - and it is even planning a new high performance server chip
techradar.com·1d
🖥️Hardware Architecture
Status Update: August 2025
joshleeb.com·19h
🧩WASM Components
Fact-checking when blogging
perrotta.dev·11h
🔗Online Curation
Bayes, Bits and Brains
bayesbitsbrains.github.io·5h·
Discuss: Hacker News
🧠Machine Learning
Creating an Immutable ‘Family Tree’ for AI Training Data
thenewstack.io·41m
🔗Data Provenance
01 Getting Started with the Trenz TE0950 Board
hackster.io·1d
⚡Homebrew CPUs
Working with Contexts
oreilly.com·9h
🔗Constraint Handling
Chasing the Silver Fox: Cat & Mouse in Kernel Shadows
research.checkpoint.com·6h
🦠Malware Analysis
Model-based Testing Distributed Systems with P Language (2021)
mydistributed.systems·2d·
Discuss: Lobsters, Hacker News, r/programming
📞Session Types
ReST-RL: Achieving Accurate Code Reasoning of LLMs with Optimized Self-Training and Decoding
arxiv.org·15h
💻Local LLMs
Finding Bugs in a Coding Agent with Lightweight DST
wickstrom.tech·21h
🐛Fuzzing