To solve these issues, Chen’s team combined robotics, machine-learning algorithms, and material science expertise to enable aerogel design with programmable mechanical and electrical ...

Prof. Hausdorff says, "Wearable sensors supported by machine learning models can continuously monitor and quantify FOG episodes, as well as the patient's general functioning in daily life.

Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by ...

Leeor Langer, Co-Founder and Chief Technology Officer of Wearable Devices, commented, “We are excited to be attending the tinyML Summit 2023 as a gold sponsor and to showcase our embedded ...

Teva and Intel are joining forces on a wearable device and machine-learning platform to improve the understanding and treatment of Huntington’s disease. | Teva and Intel are joining forces on a ...

"Machine learning used to boil down the stories that wearable cameras are telling." ScienceDaily. ScienceDaily, 13 September 2013. <www.sciencedaily.com / releases / 2013 / 09 / 130913114033.htm>.

A machine learning developed by the team was apparently able to capture episodes of conflict with an accuracy rate of up to 86-percent.

These efforts demonstrate tremendous potential for wearable and machine learning to improve health care,” Fulgraf Professor in the McKelvey School of Engineering Chenyang Lu said.