In India’s digitised welfare push, facial recognition tech is turning food access into a daily battle for mothers, children, and the women tasked with delivering food to them.

Imagine a self-driving car navigating downtown traffic. To avoid a collision, it must judge whether the pedestrian at the corner is about to cross. Or consider an investment algorithm trading ...

Deep learning has emerged as the dominant driver of anti-spoofing accuracy. Techniques like MobileFaceNet integrated with ...

Key considerations for discovery in AI-focused intellectual property (IP) litigation, including an examination of a hypothetical patent infringement and trade secret misappropriation case on highly ...

The foundation model was trained with 42 million images, and an adapter used to make the target embeddings useful to it. “The adapter module enables the use of a foundation model for embeddings of ...

Besides, large-scale datasets of profile-frontal paired face images are absent, which further hinders the training of models. In this work, we investigate a variety of face reconstruction approaches ...

A new AI model can mask a personal image without destroying its quality, which will help to protect your privacy.

The innovative model, developed at Georgia Tech, creates invisible digital masks for personal photos to thwart unwanted online facial recognition while preserving the image quality. Anyone who posts ...

Drishti is an advanced facial recognition project developed using a Siamese model. The project aims to accurately identify and verify individuals based on their unique facial features, leveraging deep ...

The face recognition algorithm based on the convolutional neural network can accurately learn the features of face recognition after a large number of data training, so as to achieve better results in ...