Automated traffic has overtaken human visits on the web, driven by a surge in AI scrapers and retrieval bots. Publishers are deploying new defenses—and business models—to protect content and revenue.
The Impact of AI Crawlers on Web Traffic: What Publishers Need to Know Now Read Post »
A practical guide to turning complex PDFs into structured, searchable data for retrieval-augmented generation—preserving tables, charts, and layout while scaling with NVIDIA NIM.
Nemotron Labs outlines how open models and GPU-accelerated libraries enable intelligent document processing that transforms static, multimodal files into structured, actionable intelligence. The result: agentic workflows that move beyond OCR and basic RAG to support secure, real-time decisions at enterprise scale.
Nemotron document intelligence: GPU-Powered Agents Turn Documents Into Real-Time BI Read Post »
Axiom says its hybrid AI mathematician produced Lean‑verified solutions to four previously unsolved problems, including a novel proof of the Chen–Gendron conjecture. Here’s why a machine‑checked approach could reshape research and high‑stakes industries.
AxiomProver AI theorem prover Breakthrough: Four Open Math Problems Solved Read Post »
Kimi K2.5 is a frontier-scale multimodal VLM now available on NVIDIA GPU-accelerated endpoints, enabling fast prototyping, high-throughput serving, and enterprise fine-tuning. Here’s how to get started and what to know about its MoE architecture, vision stack, and deployment paths.
Patients are increasingly turning to generative AI to make sense of diagnoses, test results, and care options. Here’s how ChatGPT Health fits into patient education and clinic workflows—plus the benefits and limits leaders should weigh.
How ChatGPT Health for patients Helps People Navigate Care Read Post »
