Apple has demonstrated that large language models (LLMs) can accurately identify user activities by integrating textual audio ...
A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN integration. It improves dynamic lesion detection, temporal ...
While attending the ASU-GSV Summit in April 2025, a global educational technology gathering, we heard from industry leaders who are incorporating learning sciences (LS) into their approach to ...
Growing up, Dina Xu Callaway had fond memories of her live-in grandparents, who helped raise her and her sister. Inspired by ...
Just take one complex Python guide, upload it to a notebook, and hit the ‘Audio Overview’ button. It bridged the gap between ...
The training of AI models and AI inferencing consumes vast amounts of water. How can energy and water usage be reduced?
Abstract: Lung diseases, such as asthma, pneumonia, and chronic obstructive pulmonary disease (COPD), pose considerable global health issues, making early diagnosis essential for effective treatment.
Abstract: Time series forecasting is a method that leverages historical data to predict future information, holding immense importance across various applications. However, current techniques for time ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...