Amir is the Segment Lead for Software at MUO. He's a PharmD student who loves looking at numbers and spreadsheets. Inspired by his father's hobbies, Amir developed a knack for DIY projects and built ...

AI text detector accuracy is worse than most institutions realize. New research from Pindrop and the Authors Guild confirms that skilled human writers are systematically flagged as AI-generated — and ...

Spread the love“`html As the digital landscape evolves, so do the techniques used to control and monitor online activity. One of the most common tools many individuals utilize to protect their privacy ...

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

Error-related potentials (ErrPs) have been studied to evaluate wrong decisions or actions in several contexts. An ErrP is an electrical potential on the scalp generated by the perception of errors and ...

AEGIS is a large-scale dataset and benchmark for detecting errors in Multi-Agent Systems (MAS). It provides systematically generated failure scenarios with verifiable ground-truth labels across ...

Introduction Medication errors pose a significant threat to public health. Despite efforts by health agencies and the implementation of various interventions, such as staff training, medication ...

During the seminar, I explained how checksum works as a technique used to detect errors in data transmission. I discussed how data is divided into segments, converted into binary values, and then ...

Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests and found several strengths and plenty of weaknesses. By Stuart A.

We conducted a two-phase evaluation. First, we assessed LLMs (GPT o4-mini and Gemini 2.5 Pro) on 1,000 synthetic clinical hematology/oncology vignettes with ...

Abstract: The error stability of current transformers (CTs) during online operation is highly sensitive to power grid fluctuations, often resulting in error overruns ...

Netflix has developed an automated quality control (QC) method to detect pixel-level artefacts in videos. Designed to reduce the need for manual review, the solution identifies bright spots known as ...