Brain-computer training sharpens detection of tiny movement errors in five days

The brain uses visual cues to coordinate muscle movement. When motor commands and sensory feedback are out of alignment, ...

HHS Is Using AI to Flag Hospitals for Medicaid Enforcement – and No One Published the Error Rate

HHS's AERO uses AI to flag hospitals and grantees for Medicaid enforcement with no published error rate or validation study ...
GitHub

[ACMMM 2025]DetectAnyLLM: Towards Generalizable and Robust Detection of Machine-Generated Text Across Domains and Models

DetectAnyLLM is an AI-generated text detection (i.e., Machine-Generated Text Detection) model based on the Fast-DetectGPT framework, optimized using DDL (Direct Discrepancy Learning). DDL is a novel ...
IEEE

Comprehensive Performance Analysis of Object Detection Algorithms Across Diverse Sensor Modalities

Abstract: Object detection is a cornerstone of modern computer vision, driving advances in autonomous driving, robotics, surveillance, and smart infrastructure. However, detection performance and ...
IEEE

Detection Error Compensation Method for Frequency Modulation Hemispherical Resonator Gyro

Abstract: The frequency modulation control for Hemispherical Resonator Gyro (HRG) has many advantages in noise and temperature drift suppression. The detection error ...