A Fortune 500 retailer cut robot idle time by 15%, replenishment cycles by 12%, and costs by 8% in two months. Most ...

World models are the building blocks to the next era of physical AI -- and a future in which AI is more firmly rooted in our reality.

Nvidia's Alpamayo sells autonomy to automakers terrified of the software future—Tesla remains the only robotaxi-committed ...

Abstract: Knowledge graph, as a form of efficient organization of entities and concepts, can organize scattered distributed data and provide support for data analysis and knowledge reasoning for ...

The AI Fairness and Explainability Toolkit is an open-source platform designed to evaluate, visualize, and improve AI models with a focus on fairness, explainability, and ethical considerations.

🎯 EXCEEDED TARGET: 94.78% accuracy vs 88-90% goal (+4.78% to +6.78%) 📈 MAJOR IMPROVEMENT: +8.77% accuracy over baseline (SimplePointNet) 🚀 GPU OPTIMIZED: Training time reduced from 24+ hours (CPU) ...

Abstract: Creating aesthetically pleasing data visualizations remains challenging for users without design expertise or familiarity with visualization tools. To address this gap, we present DataWink, ...

Every year, designers at Pew Research Center create hundreds of charts, maps and other data visualizations. We also help make a range of other digital products, from “scrollytelling” features to ...