Initial implementations have delivered 35% accuracy improvement and 10% reduction in product returns SAN FRANCISCO, CA / ...

This study develops a transformer-based multimodal ... data from heterogeneous sources. This alignment step enhances classification consistency and improves the accuracy of the model’s predictions.

Two larger models released in the Llama 3.2 generation, 11B and 90B, are too big to run on phones and are multimodal, meaning you could submit text and images to get complex answers. They replace ...

complex data sets, including a mix of images, texts, charts, genomic information, and medical records. To deliver on this promise, the underlying AI models must be multimodal – meaning they can ...

Recent studies have indicated that the combination of multimodal data, such as whole slide images (WSIs) and multi-omics data, could achieve more accurate diagnosis. However, robust cancer diagnosis ...

Abstract: Hyperalignment (HA) has been widely employed in multivariate pattern (MVP) analysis to discover the cognitive states in the human brains based on multisubject functional magnetic resonance ...