A New AI Research from China Proposes Meta-Transformer: A Unified AI Framework for Multimodal Learning

The human brain, regarded as the paradigm for neural network theories, concurrently processes information from various sensory inputs, such as visual, auditory, and tactile signals. Additionally, understanding from one source might help knowledge from another. However, due to the huge modality gap in deep learning, constructing a unified network capable of processing various input forms […]

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