Artificial Intelligence of Things (AIoT) is becoming immensely popular because of its widespread applications. In a groundbreaking study, researchers from Incheon National University present a new AIoT framework called MSF-Net for accurately recognizing human activities using WiFi signals. The framework utilizes a novel approach that combines different signal processing techniques and a deep learning architecture to overcome challenges like environmental interference and achieve high recognition accuracy.

A groundbreaking study from Tel Aviv University, the first of its kind on mammals, has found that bats living in urban environments give birth, on average, about 2.5 weeks earlier than bats living in rural areas. The researchers attribute this difference in birthing times between the city and the countryside to more favorable temperatures and greater food abundance in urban areas. Bats are mammals, making this the first study to link the urban living environment to the timing of birth in mammals.