Monitoring Heat Recovery Performance with ESPHome and Home Assistant
szymonkrajewski.pl·8h
🏠Home Automation
A Conversation with James Gosling (acm.org)
queue.acm.org·1d
⚙️Operating System Design
An AI-Generated Protein Helps T Cells Kill Cancer
the-scientist.com·13h·
Discuss: Hacker News
🔬Logic in Computer Science
Simon Tatham's Portable Puzzle Collection
chiark.greenend.org.uk·16h·
Discuss: Hacker News
⚔️Lean Tactics
Why Python Pros Avoid Loops: A Gentle Guide to Vectorized Thinking
kdnuggets.com·2d
⚡SIMD Optimization
In Defence of Gary Marcus
reubenadams.substack.com·12h·
Discuss: Substack
💾vintage computing
From Zero to Portfolio in One Week: How AI-Powered Personality Analysis Transformed My Coding Journey
dev.to·2d·
Discuss: DEV
🔗Concatenative Languages
From Zero to Portfolio in One Week: How AI-Powered Personality Analysis Transformed My Coding Journey
dev.to·2d·
Discuss: DEV
🔗Concatenative Languages
AI is Transforming DevOps: How Intelligent Automation is Revolutionizing Infrastructure Management
devops.com·1d
👁️Observatory Systems
VoiceFlow Pro - AI-Powered Business Process Discovery & Automation Voice Agent
dev.to·1d·
Discuss: DEV
🌊Stream Processing
Neural Corrective Machine Unranking
arxiv.org·1d
🧠Learned Indexing
The Dangers of Vibe Coding Part 1: Premature Optimization
dev.to·3d·
Discuss: DEV
⚡Effectful Programming
Prompt Power-Up: Master AI Prompts for Seamless Code Migrations
dev.to·3d·
Discuss: DEV
🦋Format Metamorphosis
SIFOTL: A Principled, Statistically-Informed Fidelity-Optimization Method for Tabular Learning
arxiv.org·1d
💻Local LLMs
Reinforcement Learning for Accelerated Aerodynamic Shape Optimisation
arxiv.org·1d
⚡Incremental Computation
Digital Twin Technologies in Predictive Maintenance: Enabling Transferability via Sim-to-Real and Real-to-Sim Transfer
arxiv.org·1d
🔄Lens Laws
Fractional Spike Differential Equations Neural Network with Efficient Adjoint Parameters Training
arxiv.org·2d
🧠Machine Learning
Improving LLMs' Generalized Reasoning Abilities by Graph Problems
arxiv.org·2d
🧠Computational Logic
Hierarchical Dimensionless Learning (Hi-{\pi}): A physics-data hybrid-driven approach for discovering dimensionless parameter combinations
arxiv.org·1d
🧠Machine Learning
My Deep Learning Journey with Andrew Ng
dev.to·1d·
Discuss: DEV
🧠Machine Learning