ANY.RUN Introduces macOS to Strengthen SOC Operations

ANY.RUN, a leading provider of interactive malware analysis and threat intelligence solutions, has announced the introduction of macOS support. Now available in beta for Enterprise Suite users, this ...
IEEE

A Review of Machine Learning and Deep Learning Trends in EEG-Based Epileptic Seizure Prediction

Abstract: Epileptic seizures impair patients’ health and quality of life, and electroencephalography (EEG)-based prediction enables timely intervention. Early work on epileptic seizure prediction ...
AARP

Interactive Teller Machines: Reactions from Adults Age 50+

Javascript must be enabled to use this site. Please enable Javascript in your browser and try again. Stay informed on the latest scams with a free biweekly newsletter ...
IEEE

Explain-and-Test: An Interactive Machine Learning Framework for Exploring Text Embeddings

Abstract: Text embeddings–mappings of collections of text to points in high-dimensional space–are a common object of analysis. A classic method to visualize these embeddings is to create a nonlinear ...
SciELO

Obesity classification: a comparative study of machine learning models excluding weight and height data

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...
The Conversation

The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself

The Applied Ethics Center at UMass Boston receives funding from the Institute for Ethics and Emerging Technologies. Nir Eisikovits serves as the data ethics advisor to MindGuard, a startup focused on ...