A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
While the statement, "Humanoid robots are coming," might cause anxiety for some, for one Georgia Tech research team, working with humanlike robots couldn't be more exciting. The researchers have ...
Two years ago, a handful of assisted living facilities in metro Phoenix added a new member to the team to help reduce ...
AI technology analyzes 24 hours of brain wave data in seconds, a task that takes trained specialists two hours to complete.
Abstract: Existing fall detection based on radar point cloud faces the challenges of low resolution point cloud estimation and sparsity, which seriously restricts the system detection performance.
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
The MarketWatch News Department was not involved in the creation of this content. Wearable Fall Detector Market Set to Reach USD 3.7 Billion by 2035, Driven by Aging Population and AI-Enabled ...
Abstract: Automatic fall detection will promote independent living and reduce the consequences of falls in the elderly by ensuring people can confidently live safely at home for linger. In laboratory ...