In the era of big data, the growing diversity, dimensionality, and volume of data have accelerated the development of artificial intelligence (AI). In turn, ...
Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...
Gemini 3.1 posts higher reasoning scores on ARC AI2 and Humanity’s Last Exam; Gemini 3 Flash beats 3 Pro on some tests, clearer for mixed workloads ...
ABSTRACT: Bipolar disorder (BD) is characterized by recurrent transitions between manic, depressive, and euthymic states, yet continuous symptom monitoring remains a major clinical challenge. We ...
Department of Functions, Shijiazhuang Hospital of Traditional Chinese Medicine, Hebei Medical University, Shijiazhuang, China. Liver space-occupying lesions are common clinical diseases. In addition ...
This research presents a comprehensive framework for constructing and applying student portraits in personalized education through advanced data analytics and knowledge graph technology. The study ...
Abstract: The rapid increase in multimodal data (text, audio, and video) has enhanced consumer applications, such as sentiment analysis, emotion detection, and content retrieval. However, the ...
Abstract: Multi-modal neuroimaging data, including magnetic resonance imaging (MRI) and fluorodeoxyglucose positron emission tomography (PET), have greatly advanced the computer-aided diagnosis of ...
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 ...
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