Research reveals that knowledge distillation significantly compensates for sensor drift in electronic noses, improving ...
UCLA’s AI flagged about 80% of missed early Alzheimer’s cases while aiming to reduce racial gaps in diagnosis.
Current continual learning methods can utilize labeled data to alleviate catastrophic forgetting effectively. However, ...
Introduction: Recently, federated learning has been successfully applied in fields related to cyber-physical-social systems (CPSSs), owing to its ability to harness decentralized clients for training ...
Abstract: Deep learning based methods have achieved extraordinary success in SAR automatic target recognition. However, deep learning conventionally necessitates a substantial number of labeled ...
Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...
BEIJING, Oct. 15, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, they announced the ...
Abstract: Existing magnetic anomaly detection (MAD) methods are widely categorized into target-, noise-, and machine learning-based methods. This article first analyzes the commonalities and ...
Automatic classification of interior decoration styles has great potential to guide and streamline the design process. Despite recent advancements, it remains challenging to construct an accurate ...
ABSTRACT: With the rapid development of science and technology, artificial intelligence plays a significant role across various domains. In recent years, frequent occurrences of natural disasters and ...
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