AI is intensifying a 'collapse' of trust online, experts say

From Venezuela to Minneapolis, the rapid rollout of deepfakes around major news events is stirring confusion and suspicion ...
2UrbanGirls on MSN

Jimmy Joseph honored with a 2025 global recognition award for an AI breakthrough that strengthened payment integrity for millions in the USA

Jimmy Joseph, senior solutions engineer at a Fortune 500 healthcare company, received a 2025 Global Recognition Award for ...
Security Boulevard

User and Entity Behavior Analytics: The Intelligence Layer for Modern Cybersecurity

Traditional security measures like firewalls and antivirus software are no longer sufficient to protect organizations from ...
Morning Overview on MSN

Scientists build a ‘periodic table’ for AI models

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
IEEE

Anomaly Detection in IoT Networks: A Deep Learning Approach Using Autoencoders

Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...
GitHub

Time Series Analysis with LSTM, ARIMA, Prophet, and Anomaly Detection

├── src/ # Source code modules │ ├── lstm_model.py # LSTM implementation with PyTorch │ ├── forecasting_models.py # ARIMA, Prophet, and statistical models │ ├── anomaly_detection.py # Anomaly ...
News 12 Long Island

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Jericho has the most semi-finalist students in the country - with a total of 10. Long Island had 33 - the most for any region ...
IEEE

Unsupervised/Semi-Supervised Magnetic Anomaly Detection Method Based on Deep Support Vector Data Description

Abstract: Existing magnetic anomaly detection (MAD) methods are widely categorized into target-, noise-, and machine learning-based methods. This article first analyzes the commonalities and ...