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🔧 reverse engineering
Developers' Toolkit: Integrating Onboarding Buddy APIs for Seamless Compliance
onboardingbuddy.co·6h·
Discuss: DEV
🔧hardware hacking
Adding the git commit hash to my Vite build
zegnat.bearblog.dev·2d
⚡fuzzing
FALLSTRUKTUR - I Lied
criminallyvulgar.dev·2d
🔧hardware hacking
The Flickers and the Bandits: Analyzing A Successful Encounter
advantageonarcana.bearblog.dev·1d
⚡fuzzing
Wrote an in-depth blog on scaling modern transformers with n-D parallelism
jaxformer.com·2d·
Discuss: Hacker News
⚡fuzzing
Turning a $2 IKEA Lantern into a Stylish Enclosure
hackaday.com·25m
🔧hardware hacking
Re: LLMs... Do you use them?
forum.melonland.net·2d
⚡fuzzing
Made biggest mistake at work. Help
reddit.com·2d·
Discuss: r/askSingapore
🔧hardware hacking
Unlocking JavaScript Compatibility with Babel
dev.to·2d·
Discuss: DEV
⚡fuzzing
A polyglot's guide to multiple-dispatch
eli.thegreenplace.net·2d·
Discuss: Hacker News
🔧hardware hacking
DyC-STG: Dynamic Causal Spatio-Temporal Graph Network for Real-time Data Credibility Analysis in IoT
arxiv.org·4h
⚡fuzzing
Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling
arxiv.org·4h
⚡fuzzing
Day 88: When Criticism Backfires Spectacularly
dev.to·1d·
Discuss: DEV
⚡fuzzing
Mutual Support by Sensor-Attacker Team for a Passive Target
arxiv.org·4h
🔧hardware hacking
Level Up Your Python: From Guild Master to Portal Architect (Flask Web App Tutorial)
dev.to·5d·
Discuss: DEV
🔧hardware hacking
Advanced Nanomechanical Characterization of Vanadium Dioxide with Dynamic Atomic Force Microscopy and Machine Learning
dev.to·2d·
Discuss: DEV
⚡fuzzing
What’s More Important for Placements: Projects or Competitive Programming?
dev.to·11h·
Discuss: DEV
⚡fuzzing
Are We SOLID Yet? An Empirical Study on Prompting LLMs to Detect Design Principle Violations
arxiv.org·5d
⚡fuzzing
Predicting Fetal Outcomes from Cardiotocography Signals Using a Supervised Variational Autoencoder
arxiv.org·4h
⚡fuzzing
Analysis of Blood Report Images Using General Purpose Vision-Language Models
arxiv.org·4h
⚡fuzzing
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