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) ...

Abstract: Class-incremental multi-label stream classification (class-incremental MLSC) requires learning algorithms to adapt to concept drifts, perform single-pass online learning, and handle emerging ...

AI search startup Perplexity has signed a multi-year licensing deal with Getty Images, which gives it permission to display images from Getty across its AI-powered search and discovery tools. The deal ...

Abstract: Auroral image classification has long been a focus of research in auroral physics. However, current methods for automatic auroral classification typically assume that only one type of aurora ...

ST Engineering has launched the Republic of Singapore Navy (RSN)'s first Victory-class Multi-Role Combat Vessel (MRCV), Victory, at its Benoi Yard. MRCV Victory is the first of six MRCVs to be built ...

YouTube announced on Wednesday that its multi-language audio feature has officially launched after a two-year-long pilot. Now, millions of YouTubers can add dubbing to their videos in different ...

I have read the paper and it seemed to be a single-label multi-classification problem. But the code use BCE and sigmoid instead of crossEntropy and softmax. So does it mean that the patient may have ...

As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...

On June 11, 2025, Vanguard filed an application with the U.S. Securities and Exchange Commission for a multi-class active ETF structure. The filing requests approval of a structure where Vanguard can ...