These are the tools we use to build and maintain our precious tech, and they're on sale for Amazon Prime Day
tomshardware.com·13h
🎮Switch Archaeology
[D] Help needed on Train Bogey Dataset
reddit.com·2d·
🗂️Vector Search
Self-Extracting F3
buttondown.com·13h·
Discuss: Hacker News
Format Verification
Data-Driven Stochastic Distribution System Hardening Based on Bayesian Online Learning
arxiv.org·1d
🧠Machine Learning
Learning Efficient Meshflow and Optical Flow from Event Cameras
arxiv.org·3h
🏺Computational Archaeology
AI-Driven Predictive Maintenance of Microfluidic Injector Arrays for Enhanced Bioreactor Performance
dev.to·2d·
Discuss: DEV
🏠Homelab Orchestration
A First Look at the Lifecycle of DL-Specific Self-Admitted Technical Debt
arxiv.org·3h
📏Code Metrics
Automated Adaptive Optics Calibration via Bayesian Optimization & Spectral Deconvolution in Light-Sheet Microscopy
dev.to·7h·
Discuss: DEV
🔬Optical Physics
Automated Optimization of AAV Capsid Display for Enhanced Gene Delivery Efficacy
dev.to·6h·
Discuss: DEV
📄Document Digitization
Engineering Nirvana: When Valves Speak the Language of Code
dev.to·1d·
Discuss: DEV
⚙️Proof Engineering
Toward a Holistic Evaluation of Robustness in CLIP Models
arxiv.org·1d
📊Learned Metrics
The method of the approximate inverse for limited-angle CT
arxiv.org·3h
🏺Computational Archaeology
Implicit Models: Expressive Power Scales with Test-Time Compute
arxiv.org·3h
🎯Performance Proofs
Learning to Predict Chaos: Curriculum-Driven Training for Robust Forecasting of Chaotic Dynamics
arxiv.org·3h
🧠Machine Learning
Mechanisms for Quantum Advantage in Global Optimization of Nonconvex Functions
arxiv.org·3h
⚛️Quantum Algorithms
POEM: Explore Unexplored Reliable Samples to Enhance Test-Time Adaptation
arxiv.org·3h
🧮Kolmogorov Complexity