Abstract: Given the aging population, healthcare systems need to be established to deal with health issues such as injurious falls. Wearable devices can be used to detect falls. However, most wearable ...

AI security cameras are transforming modern smart home security by analyzing live video feeds in real time to detect unusual activity with high accuracy. Using advanced convolutional neural networks, ...

Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate ...

We introduce a RGB+S dataset named “Industrial Human Action Recognition Dataset” (InHARD) from a real-world setting for industrial human action recognition with over 2 million frames, collected from ...

On a sunny morning on October 19 2025, four men allegedly walked into the world’s most-visited museum and left, minutes later, with crown jewels worth €88 million (£76 million). The theft from Paris’s ...

KUALA LUMPUR – A foreign digital identity (FDID) system comprising fingerprints, iris scans and facial recognition data of foreign visitors is set to be introduced, says Malaysia’s Home Ministry. The ...

Exploring uses for artificial intelligence (AI) machine learning is de rigueur, and large language models (LLMs) are having their moment in the spotlight. Last year, LLMs were used in a variety of ...

Anyone who has been surfing the web for a while is probably used to clicking through a CAPTCHA grid of street images, identifying everyday objects to prove that they’re a human and not an automated ...

President Javier Milei creates security unit as some say certain groups may be overly scrutinized by the technology Argentina’s security forces have announced plans to use artificial intelligence to ...

Cancer, a significant global public health issue, resulted in about 10 million deaths in 2022. Anticancer peptides (ACPs), as a category of bioactive peptides, have emerged as a focal point in ...

Abstract: Human activity recognition from multimodal body sensor data has proven to be an effective approach for the care of elderly or physically impaired people in a smart healthcare environment.