Track-Before-Detect (TBD) algorithms have emerged as a transformative approach in target detection systems by integrating detection with tracking, thereby enhancing the ability to locate weak or ...

Fall detection systems and algorithms represent a rapidly evolving field at the intersection of biomedical engineering, machine learning and sensor technology. These systems are designed to ...

Deepfake detection improves when using algorithms that are more aware of demographic diversity “Our research addresses deepfake detection algorithms’ fairness, rather than just attempting to balance ...

We built our work around the state-of-the-art Xception detection algorithm, which is a widely used foundation for deepfake detection systems and can detect deepfakes with an accuracy of 91.5%.

The algorithm also proved to be among the fastest in community detection. The research has the potential to greatly enhance our understanding of complex social networks and improve various ...

Deepfake fraud is propelling dramatic market growth in deepfake detection. Innovatrics and 3Divi are the latest entrants to ...

An Algorithm To Detect Sarcasm? Like We Need That Researchers are developing a new multimodal approach to decode dry wit and irony.

A research team at Nankai University in Tianjin has made major strides in detecting text generated by artificial intelligence ...

Learn to build a real-time sign language detection system with AI, using DETR for accessibility and innovation. Bridging ...