What if your smartwatch could tell when you were struggling emotionally and offer support before you even thought to ask?

Reading impairments are common in stroke-induced aphasia and limit participation in functional and leisure activities. Traditional rehabilitation strategies show limited generalization, underscoring ...

Emotion estimation is a field that has been studied for a long time, and several approaches using machine learning models exist. This article presents BlendFER-Lite, an LSTM model that uses ...

Abstract: Electroencephalogram (EEG)-based facial expression recognition plays an important role in affective computing and brain–computer interface systems; however, it is conceptually distinct from ...

In today's hyperconnected world, social media has become a critical channel for businesses to understand consumers. While social listening tools are widely used, they often fall short, providing only ...

Today, evaluating the extent to which artificial intelligence (AI) successfully gains a user’s trust is performed manually in analog ways as it long has been, through follow-up surveys, human-to-human ...

We release Qwen3-Omni, the natively end-to-end multilingual omni-modal foundation models. It is designed to process diverse inputs including text, images, audio, and video, while delivering real-time ...

AI-enhanced prescriptive analytics is no longer optional — it’s the strategic engine behind real-time decisions, optimization and competitive edge in 2025. The world generated 181 zettabytes of data ...

Find the best facial recognition software with our comprehensive expert guide. Discover the top solutions for enhanced security and convenient identification. Biometric security technologies such as ...

Autism spectrum disorder (ASD) involves challenges in communication and social interaction, including challenges in recognizing emotions. Existing technological solutions aim to improve social ...