Meta Quietly Removes Face-Recognition Code From Its Smart Glasses App

The 'disappearing into the bushes like Homer Simpson' strategy is a bold choice.

Florida man blames wrongful arrest on "error-prone" AI facial recognition

The wrongful arrest is just one of over a dozen in recent years linked to facial recognition technology.

Meta Silently Added Face-Recognition Code for Its Smart Glasses to Millions of Phones

Code reviewed by WIRED uncovered an unreleased face-recognition system embedded in Meta’s smart glasses platform. It’s ...
The Next Web

Meta pulled facial recognition code from its smart glasses app one day after WIRED found it, then denied the timing was related

Meta removed NameTag facial recognition code from its AI app after WIRED found biometric software on 50 million phones that Meta said "does not exist." ...

Wired Found Code For An Unreleased Facial Recognition Feature In Meta's AI App

Meta was previously reported to be exploring facial recognition for its smart glasses.

Meta Deletes Face-Recognition System From Its Smart Glasses App After WIRED Report

The code WIRED identified is gone from the latest version of Meta AI, the companion app for the company’s smart glasses. Meta ...

Malicious Hugging Face Models Could Trigger Remote Code Execution

A flaw in Hugging Face Transformers could allow malicious AI models to execute code, exposing credentials and highlighting AI ...

Meta quietly added facial recognition code for smart glasses to its app, says it's just exploring

The company says it's not building a central face database.
IEEE

Two-Stream Prototype Learning Network for Few-Shot Face Recognition Under Occlusions

Abstract: Few-shot face recognition under occlusion (FSFRO) aims to recognize novel subjects given only a few, probably occluded face images, and it is challenging and common in real-world scenarios.
IEEE

Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps

Abstract: The objective of this paper is to develop a novel emotion recognition system from electroencephalogram (EEG) signals using effective connectivity and deep learning methods. Emotion ...