AI breakthroughs are transforming industries, from healthcare to finance
blog.google·15h
🤖AI Curation
Show HN: Tabwise – AI data analyst that outperforms ChatGPT and Claude
tabwise.ai·19h·
Discuss: Hacker News
⚡Proof Automation
[D] Help Suggesting a best model for my sales prediction dataset
reddit.com·4h·
Discuss: r/MachineLearning
🧠Machine Learning
Addressing Graph Anomaly Detection via Causal Edge Separation and Spectrum
arxiv.org·2d
🔍Vector Forensics
How Infosys built a generative AI solution to process oil and gas drilling data with Amazon Bedrock
aws.amazon.com·3d
📰RSS Archaeology
The AI Building Block You’ve Never Heard Of (But Use Every Day)
hackernoon.com·3d
🔗Parser Combinators
🚀 I Created OctaneDB – The Lightning-Fast Python Vector Database!
dev.to·3h·
Discuss: DEV
🗂️Vector Databases
Unplug and Play Language Models: Decomposing Experts in Language Models at Inference Time
arxiv.org·1d
🧠Intelligence Compression
A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
arxiv.org·2d
🌀Riemannian Computing
Show HN: A short story on developing a long-context World-Model with no money
francesco215.github.io·16h·
Discuss: Hacker News
🧠Learned Codecs
Locality-aware Concept Bottleneck Model
arxiv.org·2d
⧗Information Bottleneck
Lessons from AI Safety for Businesses
svana.name·1d·
Discuss: Hacker News
🌍Cultural Algorithms
A Complete Guide to Tagging for Personal Knowledge Management
fortelabs.com·3d·
Discuss: Hacker News
🌱Personal Wikis
Quantitative Prediction of UPS Pathway Dysregulation via Multi-Scale Graph Convolutional Networks
dev.to·23h·
Discuss: DEV
🔍Vector Forensics
AI Can Do More Than You Think — The Most Practical Ways to Use AI Every Day
dev.to·7h·
Discuss: DEV
🌊Streaming Algorithms
MNIST Data Set (OpenCV
dev.to·1d·
Discuss: DEV
📊Learned Metrics
Wormhole Dynamics in Deep Neural Networks
arxiv.org·1d
🔍Vector Forensics
INFNet: A Task-aware Information Flow Network for Large-Scale Recommendation Systems
arxiv.org·5d
🧭Content Discovery
Towards a Larger Model via One-Shot Federated Learning on Heterogeneous Client Models
arxiv.org·3d
🤐Secure Multiparty
SLM4Offer: Personalized Marketing Offer Generation Using Contrastive Learning Based Fine-Tuning
arxiv.org·1d
👤Search Personalization