Statistical method broadens forecasts by modeling uncertainty beyond average outcomes

When it comes to statistics, we usually expect to be informed about what happens "on average." But sometimes the key information lies in deviations from that mean: how likely is heavy rain, and how ...
GitHub

RF-DETR: Real-Time SOTA Object Detection, Instance Segmentation, and Keypoint Detection

RF-DETR is a real-time transformer architecture for object detection, instance segmentation, and keypoint detection (preview) developed by Roboflow. Built on a DINOv2 vision transformer backbone, ...
GitHub

Speech To Speech: Build voice agents with open-source models

This starts an OpenAI Realtime-compatible server at ws://localhost:8765/v1/realtime using Parakeet TDT for local STT, an OpenAI-compatible LLM, and Qwen3-TTS for ...
IEEE

High-Generalized Unfolding Model With Coupled Spatial-Spectral Transformer for Hyperspectral Image Reconstruction

Abstract: Deep unfolding framework has witnessed remarkable progress for hyperspectral image (HSI) reconstruction benefitting from advanced consolidation of the imaging model-driven and data-driven ...
IEEE

Generalized Functional Mixed Models for Accelerated Degradation-Based Reliability Analysis

Abstract: As sensing technology advances, engineers can monitor a system's physical characteristics or performance measures for reliability assessments. The evolution of such measurements as the ...