It’s time to rethink Bloom’s ladder. Learning is mastery, made observable in the ways students act, adapt, and solve problems ...

Peloton pivots from bikes to an AI-powered fitness platform, aiming to regain popularity and boost its market value.

From the earliest year of school, children begin learning how to express ideas in different ways. Lines across a page, a ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Discover Google’s Gemma 3, a groundbreaking multimodal AI transforming education, accessibility, and creativity with ...

Cervical cancer is a major public health concern that poses a significant threat to women's health. Standard concurrent chemoradiotherapy (CCRT) achieves disease-free survival (DFS) in approximately ...

Abstract: The design of effective multimodal feature fusion strategies is the key task for multimodal learning, which often requires huge computational costs with extensive expertise. In this paper, ...

State Key Laboratory of Cognitive Neuroscience and Learning, and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China The study leverages a multimodal machine learning ...

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Furthermore, stacking neural network approaches have exhibited ...