Judge dismisses lawsuit twice due to alleged deepfake video testimony

The study introduces the Mobility-Aware Transformer-Message Passing Neural Network (MAT-MPNN) model, designed to enhance the prediction of HIV diagnosis rates across California, Florida, and New England. This model addresses the limitations of traditional Message Passing Neural Networks, which rely on fixed binary adjacency matrices that fail to capture interactions between non-contiguous regions. By integrating a Transformer encoder for temporal features and a Mobility Graph Generator for spatial relationships, MAT-MPNN aims to improve forecasting accuracy in HIV diagnoses.

Burks Tractor, an Idaho-based dealership, has filed a lawsuit against Monarch, a California startup, for breach of contract and warranty violations. The lawsuit claims that the tractors purchased from Monarch are 'unable to operate autonomously' and continue to face significant operational issues, which Burks Tractor describes as 'defective.' This legal action highlights concerns regarding the reliability and functionality of Monarch's autonomous tractor technology.

Wildfires are a major global threat, particularly in California, where they are influenced by climate, topography, vegetation, and human activities. This study develops a wildfire risk map for California using the random forest algorithm enhanced by Explainable Artificial Intelligence (XAI) through Shapley Additive Explanations (SHAP). The model showed strong predictive performance, particularly for grasslands and forests, with high AUC values. Validation strategies indicated moderate transferability and enhanced generalization for forest areas, highlighting the model's effectiveness in predic…

Traffic safety analysis at signalized intersections is crucial for minimizing vehicle and pedestrian collisions. Traditional crash-based studies face challenges due to data sparsity and latency. This paper introduces a multi-camera computer vision framework for real-time safety assessment through Post-Encroachment Time (PET) computation, tested at the intersection of H Street and Broadway in Chula Vista, California. Utilizing four synchronized cameras, the system processes frames on NVIDIA Jetson AGX Xavier devices with YOLOv11 segmentation for vehicle detection, creating a unified bird's-eye …