Representation learning is at the heart of modern AI, shaping how models understand and process data. From contrastive learning frameworks to multimodal benchmarks, researchers are refining how ...

With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

Researchers from Google DeepMind in Berlin, BIFOLD, and the Technical University of Berlin have introduced a new machine ...

Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental ...