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 ...

SEOUL, Dec 2 (Reuters) - Samsung Electronics (005930.KS), opens new tab unveiled on Tuesday its first multi-folding smartphone, in a bid to strengthen its position in a sector of the phone market ...

Multi-Color Corp.’s earnings were hit hard by lower customer demand in the third quarter as the label making firm’s debt obligations grow more daunting, according to people familiar with the situation ...

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 ...

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 decentralized finance or DeFi changes, users are always looking for ways to simplify working with digital assets. Two major elements that have changed the game are multi-chain swaps and ...

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 ...