IEEE

TinyML-Based Pothole Detection: A Comparative Analysis of YOLO and FOMO Model Performance

Abstract: Potholes pose a substantial threat in urban settings, leading to vehicular damage and safety risks. Therefore, their prompt identification is essential for effective road maintenance. In ...
GitHub

AML: Adversarial Meta-Learning for Few-Shot Object Detection

This package includes our codes for implementing "Adversarial Meta-Learning for Few-Shot Object Detection". (First Release Date: 2025-04-13) Please refer to mmfewshot ...
NPR

Teachers are using software to see if students used AI. What happens when it's wrong?

Ailsa Ostovitz has been accused of using AI on three assignments in two different classes this school year. "It's mentally exhausting because it's like I know this is my work," says Ostovitz, 17. "I ...
Microsoft

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
IEEE

Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...