Neuro-Symbolic AI
en.wikipedia.org·23h·
Discuss: Hacker News
🧠Neuromorphic Chips
Memory Retrieval and Consolidation in Large Language Models through Function Tokens
arxiv.org·1d
💻Local LLMs
Enhanced Predictive Maintenance of Geothermal Heat Exchangers via Hybrid Bayesian Optimization and LSTM
dev.to·8h·
Discuss: DEV
💻Local LLMs
GNN Predictions: Hidden Bugs and the Verification Nightmare by Arvind Sundararajan
dev.to·15h·
Discuss: DEV
📱Edge AI
The Conveyor Belt Protocol: Understanding Iterators
dev.to·9h·
Discuss: DEV
🌐Rust Networking
Rust vs C, C++, Java & Python — 5 Everyday Programs Compared
dev.to·2d·
Discuss: DEV
🔌Embedded Rust
Integral Signatures of Activation Functions: A 9-Dimensional Taxonomy and Stability Theory for Deep Learning
arxiv.org·1d
💻Local LLMs
M\"obius transforms and Shapley values for vector-valued functions on weighted directed acyclic multigraphs
arxiv.org·3d
📐Data Modeling
A Gentle Introduction to TypeScript for Python Programmers
kdnuggets.com·4d
🦕Deno
Writing regex is pure joy. You can't convince me otherwise.
triangulatedexistence.mataroa.blog·1d·
Discuss: Hacker News, r/programming
✨vibe-coding
Data-Error Scaling Laws in Machine Learning on Combinatorial Mutation-prone Sets: Proteins and Small Molecules
arxiv.org·1d
🧬Computational Biology
RND1: Simple, Scalable AR-to-Diffusion Conversion
radicalnumerics.ai·1d·
Discuss: Hacker News
🏗️AI Infrastructure
Does Go have types?
youtube.com·1d·
Discuss: r/golang
🦀Rust
Programmer in Wonderland
binaryigor.com·1d·
Discuss: Hacker News
🧩Low-code
2025-10-10 # LLMs Are Transpilers
alloc.dev·1d·
Discuss: Hacker News
💻Local LLMs
Context Engineering for Coding Agents
hackernoon.com·10h
✨vibe-coding
Building A Real-Time Communication System Using Go and WebSocket
dev.to·18h·
Discuss: DEV
🌐Rust Networking
Randomized and quantum approximate matrix multiplication
arxiv.org·1d
🛡️Byzantine Consensus
A Manifesto for the Programming Desperado
github.com·21h·
Discuss: Hacker News
🧩Low-code
TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning
arxiv.org·2d
💻Local LLMs