2026 S&P 500 Outlook: A Multiple Compression, In Spite Of Earnings Growth

Analysts expect the S&P 500 to report double-digit earnings growth for the 3rd straight year in CY 2026. The estimated ...
CU Independent

The Role of AI and Machine Learning in People Search Accuracy

See how AI and machine learning are transforming people search accuracy. Learn how ML improves precision and recall, powers ...
IEEE

Graph dictionary learning for the study of human motion

Abstract: In this article, we introduce a method inspired by Graph Signal Processing (GSP) for the analysis of human motion based on the 3D positions of skeletal joints. Our approach uses a graph ...
GitHub

DAGSfM: Distributed and Graph-Based Structure-from-Motion Library

@misc{chen2019graphbased, title={Graph-Based Parallel Large Scale Structure from Motion}, author={Yu Chen and Shuhan Shen and Yisong Chen and Guoping Wang}, year ...
Mirage News

Chaos Key to Lifelike Motion in Synthetic Materials

Chemical reactions that are sensitive to force could help power engineered materials that beat, twitch and shiver like living tissue for new ...
IEEE

Passive Bimanual Skills Learning From Demonstration With Motion Graph Attention Networks

Abstract: Enabling household robots to passively learn task-level skills from human demonstration could substantially boost their application in daily life. In this letter, we propose a Learning from ...
GitHub

Graph Structure from Motion (GraphSfM)

Our Structure from Motion approach, named Graph Structure from Motion (GraphSfM), is aimed at large scale 3D reconstruction. Besides, we aimed at exploring the computation ability of computer and ...