How much revenue is needed to justify the current AI spend?
pracap.com·13h·
Discuss: Hacker News
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
The Day I Almost Backed Out: Being the Only Woman Speaker at AWS Cloud Day Philippines' Developer Lounge
dev.to·17h·
Discuss: DEV
🔌Interface Evolution
[Help] TrueNas issues
reddit.com·15h·
Discuss: r/homelab
🏠HomeLab
IKNet: Interpretable Stock Price Prediction via Keyword-Guided Integration of News and Technical Indicators
arxiv.org·2d
🧠Learned Indexing
What do you struggle with?
reddit.com·2d·
Discuss: r/kubernetes
🌊Streaming Systems
SER-Diff: Synthetic Error Replay Diffusion for Incremental Brain Tumor Segmentation
arxiv.org·3d
📊Learned Metrics
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
📊Multi-vector RAG
Deep Learning-Driven Spatial Tau Oligomer Profiling for Early Alzheimer's Diagnosis
dev.to·19h·
Discuss: DEV
🔍Vector Forensics
GNN Blind Spots: The Hidden Cost of Powerful Graph Models
dev.to·1d·
Discuss: DEV
🕸️Graph Embeddings
Nicholas Renotte: I Spent 6 Weeks using Reinforcement Learning to Beat This GoDot Game
dev.to·1d·
Discuss: DEV
⚔️Lean Tactics
Enhanced Shelf-Life Prediction & Quality Assurance via Biofilm-Resistant Packaging Film Spectral Analysis
dev.to·5h·
Discuss: DEV
🧮Algorithmic Cooking
MuFFIN: Multifaceted Pronunciation Feedback Model with Interactive Hierarchical Neural Modeling
arxiv.org·5d
🗣️CMU Pronouncing
Efficient Test-Time Scaling for Small Vision-Language Models
arxiv.org·5d
🗜️LZW Variants
Context Matters: Learning Global Semantics for Visual Reasoning and Comprehension
arxiv.org·4d
📊Learned Metrics
Structured Cognition for Behavioral Intelligence in Large Language Model Agents: Preliminary Study
arxiv.org·4d
🧠Intelligence Compression
To model human linguistic prediction, make LLMs less superhuman
arxiv.org·4d
🧠Intelligence Compression
LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language
arxiv.org·4d
🧮Kolmogorov Complexity
JEPAs: Unveiling the Hidden Density Oracle Within by Arvind Sundararajan
dev.to·3d·
Discuss: DEV
🧠Machine Learning
Context-Aware Inference via Performance Forecasting in Decentralized Learning Networks
arxiv.org·3d
🌊Streaming Systems