Courts are increasingly confronting AI-generated and AI-manipulated evidence land on their dockets. But with innovation comes ...

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

Tomato growth is highly susceptible to diseases, making accurate identification crucial for timely intervention. While deep learning models like the YOLO family have demonstrated success in detecting ...

5.1 RQ1: How does our proposed anomaly detection model perform compared to the baselines? 5.2 RQ2: How much does the sequential and temporal information within log sequences affect anomaly detection?

Baltimore County Police released a statement Tuesday on school safety in response to officers recently detaining a 16-year-old student after an artificial intelligence gun detection system mistook his ...

An incident in which an AI gun detection system mistook a student's bag of chips for a gun was partly human error, officials said Thursday. The incident came Monday after Taki Allen, a Kenwood High ...

Abstract: This study aims to compare the performance of five different models for spelling error detection, a crucial task in natural language processing. In this ...

Threat actors are using novel living-off-the-land (LOTL) tactics to better evade detection, according to HP Wolf’s Q2 2025 Threat Insights Report. These tactics include the growing use of multiple, ...

Most electrical and electronic devices today require a method to detect tampering. In many cases, it could mean that the door of a device has been opened. This post will share some tamper detection ...

Data cleaning is a long-standing challenge in data management. While powerful logic and statistical algorithms have been developed to detect and repair data errors in tables, existing algorithms ...