The Department of Homeland Security has issued new guidance requiring foreign nationals – including green card holders and other non-U.S. citizens living legally in the country, to be photographed ...

Introduction: Facial Emotion Recognition (FER) enables smart environments and robots to adapt their behavior to a user's affective state. Translating those recognized emotions into ambient cues, such ...

NEW YORK (WABC) -- Civil rights and privacy groups are demanding an investigation into the NYPD's alleged misuse of facial recognition technology after a false match led to a man being wrongfully ...

The lawsuit alleges the company uses a form of artificial intelligence called “computer vision” to help mitigate theft by collecting data about customers’ facial geometry Jon Cherry/Bloomberg via ...

This week, we learned FBI investigators used facial recognition software to identify and charge a Reed College graduate accused of assaulting an ICE officer and damaging the ICE building in South ...

Hi! I’m interested in contributing specifically to the model training and improvement aspect of this project under GSSoC. My background is in Python and deep learning, especially CNN-based model ...

Introduction: Emotion recognition based on electroencephalogram (EEG) signals has shown increasing application potential in fields such as brain-computer interfaces and affective computing. However, ...

WIRED published a shocking investigation this week based on records, including audio recordings, of hundreds of emergency calls from United States Immigration and Customs Enforcement (ICE) detention ...

Immigration and Customs Enforcement (ICE) is using a smartphone app to identify people based on an image of their fingerprints or face, 404 Media reported Thursday, based on a review of internal ICE ...

As Milwaukee authorities continue to explore using facial recognition, efforts to stop its use are growing. Milwaukee politicians and residents gave a strong rebuke of local law enforcement's interest ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...