UiPath: Fine Q4 Earnings, But The Bull Case Remains Uninspiring

It's still too early to say whether UiPath will ultimately end up, on net, as benefitting from or being harmed by AI adoption. Read why PATH stock is a Sell.
IEEE

Landslide Deformation Uncertainty Quantification Using Conformalized Graph Neural Networks: A Case Study in Sichuan Province, China

Abstract: Landslide deformation prediction plays a crucial role in geohazard risk management, yet existing methods often struggle to quantify prediction uncertainties effectively. This paper presents ...
eLife

Designing optimal perturbation inputs for system identification in neuroscience

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...
IEEE

SlowFast Adaptive Graph Convolutional Network with Multi-Modal Feature Aggregation for Skeleton-Based Action Recognition: Case Study of Human Ladder Climbing

Abstract: In skeleton-based action recognition, the frequency of spatio-temporal changes of different joints is largely influenced by the type of action. This research presents a SlowFast Adaptive ...