Rare and Old Computers
randoc.wordpress.com·14h·
Discuss: Hacker News
🕹️Retro Gaming
3 Questions: On biology and medicine’s “data revolution”
news.mit.edu·2d
🧠Machine Learning
Pratt Parsers: Expression Parsing Made Easy
journal.stuffwithstuff.com·8h
🔗Monadic Parsing
Serving AI from the basement part I
ahmadosman.com·1d·
Discuss: Hacker News
⚡Homebrew CPUs
Learning Laplacian Eigenvectors: a Pre-training Method for Graph Neural Networks
arxiv.org·1d
🕸️Graph Embeddings
TeRA: Vector-based Random Tensor Network for High-Rank Adaptation of Large Language Models
arxiv.org·1d
📊Quantization
Heatmap Guided Query Transformers for Robust Astrocyte Detection across Immunostains and Resolutions
arxiv.org·1d
🌀Hyperbolic Geometry
[R] The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs
reddit.com·17h·
Discuss: r/MachineLearning
🌀Brotli Internals
Multilinear and Linear Programs for Partially Identifiable Queries in Quasi-Markovian Structural Causal Models
arxiv.org·13h
🧮Kolmogorov Bounds
MorphGen: Morphology-Guided Representation Learning for Robust Single-Domain Generalization in Histopathological Cancer Classification
arxiv.org·2d
🕳️Persistent Homology
L3Cube-IndicHeadline-ID: A Dataset for Headline Identification and Semantic Evaluation in Low-Resource Indian Languages
arxiv.org·2d
💾Binary Linguistics
LangChain vs. LlamaIndex: The Right Framework for the Job, Not the Hype.
dev.to·19h·
Discuss: DEV
🌀Brotli Internals
Building a 'Chat with Your Logs' System on AWS Using OpenSearch Serverless and Bedrock
dev.to·17h·
Discuss: DEV
👁️Observatory Systems
AR-KAN: Autoregressive-Weight-Enhanced Kolmogorov-Arnold Network for Time Series Forecasting
arxiv.org·1d
🧠Machine Learning
Explainability-Driven Dimensionality Reduction for Hyperspectral Imaging
arxiv.org·2d
📐Vector Dimensionality
Unveiling Hidden Geometry: How Problem Shape Impacts AI Solver Performance by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
🌀Riemannian Computing
Adaptive KV-Cache Compression without Manually Setting Budget
arxiv.org·1d
🌊Streaming Compression
Towards the Datasets Used in Requirements Engineering of Mobile Apps: Preliminary Findings from a Systematic Mapping Study
arxiv.org·13h
🌀Brotli Internals
AI, Computer Vision, and Deep Learning: Seeing the World Through Algorithms
dev.to·14h·
Discuss: DEV
🤖Advanced OCR
Count2Density: Crowd Density Estimation without Location-level Annotations
arxiv.org·1d
📊Count-Min Sketch