Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

Researchers would like to assist in tabular data classification through cross-modal processing methods that can generate spatial auxiliary information. However, existing cross-modal methods limit the ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

What if the power of advanced natural language processing could fit in the palm of your hand? Imagine a compact yet highly capable model that brings the sophistication of retrieval augmented ...

Google’s open-source Gemma is already a small model designed to run on devices like smartphones. However, Google continues to expand the Gemma family of models and optimize these for local usage on ...

CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ is a senior reporter ...

Electroencephalography (EEG) holds immense potential for decoding complex brain patterns associated with cognitive states and neurological conditions. In this paper, we propose an end-to-end framework ...

The integration of electronic medical records (EMRs) in modern healthcare holds significant promise; however, traditional approaches to syndrome differentiation in Traditional Chinese Medicine (TCM) ...

Google on Friday added a new, experimental “embedding” model for text, Gemini Embedding, to its Gemini developer API. Embedding models translate text inputs like words and phrases into numerical ...

Abstract: Support matrix machine (SMM) based methods have revolutionized the field of state identification by effectively mining correlations between fault features. However, some flaws limit its ...