Doctors believe artificial intelligence is now saving lives after a major advancement in breast cancer screenings. AI is detecting early signs of the disease, in some cases years before doctors would find the cancer on a traditional scan. People suffering from dementia could live more independently thanks to a pair of AI-powered socks that can track everything from a patient's heart rate to movement. Called "SmartSocks," the AI-powered apparel was created in partnership between the University of Exeter and researchers at the start-up company Milbotix, according to SWNS. The socks can monitor a patient's heart rate, sweat levels and motion to prevent falls while also promoting independence for those with dementia. "I came up with the idea for SmartSocks while volunteering in a dementia care home," SmartSocks creator Zeke Steer, CEO of Milbotix, told SWNS.

Sensor-based human activity recognition has become a critical component of many emerging applications ranging from behavioral medicine to gaming. However, an unprecedented increase in the diversity of sensor devices in the Internet-of-Things era has limited the adoption of activity recognition models for use across different domains. We propose ActiLabel a combinatorial framework that learns structural similarities among the events in an arbitrary domain and those of a different domain. The structural similarities are captured through a graph model, referred to as the it dependency graph, which abstracts details of activity patterns in low-level signal and feature space. The activity labels are then autonomously learned by finding an optimal tiered mapping between the dependency graphs. Extensive experiments based on three public datasets demonstrate the superiority of ActiLabel over state-of-the-art transfer learning and deep learning methods.