These Tools Say They Can Spot A.I. Fakes. Do They Really Work?

Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests ...
Psychology Today

Diagnosing Schizophrenia With Machine Learning

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
CSOonline

Microsoft develops a new scanner to detect hidden backdoors in LLMs

Microsoft’s research shows how poisoned language models can hide malicious triggers, creating new integrity risks for enterprises using third-party AI systems. Microsoft has developed a scanner ...
Hosted on MSN

Researchers use AI to detect cancer

On World Cancer Day, attention is turning to a world-first trial showing that artificial intelligence is helping doctors identify more cases of breast cancer during routine screenings. Researchers in ...
Journal of Medical Internet Research

Correction: Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study

Correction: Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study ...
IEEE

An Outlier Processing Method Integrating Data Snooping and Quasi-Accurate Detection for Incomplete Carrier Phase Measurements

Abstract: Global navigation satellite system (GNSS) radio signals are extremely susceptible to interference in urban environments, and even multifrequency geodetic receiver observation data are often ...
IEEE

Outlier Detection Using Cluster Analysis for Fixed Income Bonds

Abstract: In fixed income asset classes, detection of outliers is a fundamental issue, as it is a tedious task of detection and removal of anomalous objects from gigabytes of data. Outliers can arise ...