🧩 programming

smalltalk, forth, pascal, c, c++, go rust, scheme, lisp, ruby, erlang, prolog

Air Force cancels E-7 Wedgetail, citing survivability and cost concerns
breakingdefense.com·17h
🔱plan 9
Thursday open line
arktimes.com·15h
🌐Network Protocols
Large language models show amplified cognitive biases in moral decision-making
pnas.org·2d
⚙️Compilers
AlphaGenome: AI for better understanding the genome
deepmind.google·1d·
Discuss: Hacker News, Hacker News, r/LocalLLaMA
⚙️Compilers
IBM’s Dmitry Krotov wants to crack the ‘physics’ of memory
research.ibm.com·3d·
Discuss: Hacker News
⚙️Compilers
I wrote my PhD Thesis in Typst
fransskarman.com·4d·
Discuss: Lobsters, Hacker News
⚙️Compilers
[$] Libxml2's "no security embargoes" policy
lwn.net·1d
⚙️Compilers
Argumentative Ensembling for Robust Recourse under Model Multiplicity
arxiv.org·1d
⚙️Compilers
Optimal Single-Policy Sample Complexity and Transient Coverage for Average-Reward Offline RL
arxiv.org·8h
🌐Network Protocols
Mind the Gap: Assessing Wiktionary's Crowd-Sourced Linguistic Knowledge on Morphological Gaps in Two Related Languages
arxiv.org·3d
⚙️Compilers
VFArch\=e: A Dual-Mode Framework for Locating Vulnerable Functions in Open-Source Software
arxiv.org·3d
⚙️Compilers
Alto: Orchestrating Distributed Compound AI Systems with Nested Ancestry
arxiv.org·4d
⚙️Compilers
MATER: Multi-level Acoustic and Textual Emotion Representation for Interpretable Speech Emotion Recognition
arxiv.org·1d
⚙️Compilers
Computation of Immediate Neighbours of Monotone Boolean Functions
arxiv.org·3d
🌐Network Protocols
UltraSketchLLM: Saliency-Driven Sketching for Ultra-Low Bit LLM Compression
arxiv.org·3d
⚙️Compilers
MemeMind: A Large-Scale Multimodal Dataset with Chain-of-Thought Reasoning for Harmful Meme Detection
arxiv.org·2d
⚙️Compilers
Reading Smiles: Proxy Bias in Foundation Models for Facial Emotion Recognition
arxiv.org·2d
⚙️Compilers
Fully lifted \emph{blirp} interpolation -- a large deviation view
arxiv.org·2d
🎨Graphics Programming
Estimating Technical Loss without Power Flows: A Practical, Data-Driven Approach for Loss Estimation in Distribution Grids
arxiv.org·8h
🌐Network Protocols
IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Par...
arxiv.org·8h
⚙️Compilers