Why Racket? Why Lisp?
practicaltypography.com·5d·
Discuss: Lobsters, Hacker News
🗣️Language Servers
60% faster substring search with SIMD in Zig
aarol.dev·4d·
Discuss: Lobsters, Hacker News, r/Zig, r/programming
🔢SIMD Programming
Block encoding the 3D heterogeneous Poisson equation with application to fracture flow
arxiv.org·3d
🧮Linear Algebra
Deep Learning Models for Robust Facial Liveness Detection
arxiv.org·2d
🕯️Candle
Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment
arxiv.org·2d
🧠Memory Allocators
LLMs vs. Chinese Anime Enthusiasts: A Comparative Study on Emotionally Supportive Role-Playing
arxiv.org·4d
🎮Game Engines
A New Lens on Homelessness: Daily Tent Monitoring with 311 Calls and Street Images
arxiv.org·4d
📈Graph Algorithms
Emergence of Hierarchies in Multi-Agent Self-Organizing Systems Pursuing a Joint Objective
arxiv.org·1d
🌍Distributed Systems
M2IO-R1: An Efficient RL-Enhanced Reasoning Framework for Multimodal Retrieval Augmented Multimodal Generation
arxiv.org·4d
🤖AI
Geometry-Aware Spiking Graph Neural Network
arxiv.org·3d
🕯️Candle
A Stable and Principled Loss Function for Direct Language Model Alignment
arxiv.org·3d
🤖AI
Enhancing Rumor Detection Methods with Propagation Structure Infused Language Model
arxiv.org·3d
🦾Rust ML
Diffeomorphic Neural Operator Learning
arxiv.org·3d
🧮Linear Algebra
How we spent our first two weeks as an independent AI safety research group
lesswrong.com·3d
🦾Rust ML
Paper Review: TRImodal Brain Encoder
lesswrong.com·1d
🤖AI
AI Safety at the Frontier: Paper Highlights, July '25
lesswrong.com·4d
🤖AI
Multimodal Fusion And Sparse Attention-based Alignment Model for Long Sequential Recommendation
arxiv.org·1d
🕯️Candle
Non-participant externalities reshape the evolution of altruistic punishment
arxiv.org·2d
📈Graph Algorithms
Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift
arxiv.org·3d
🤖AI
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan
arxiv.org·4d
🤖AI