Almost all forms of biological perception are multimodal by design, allowing agents to integrate and synthesize data from several sources. Linking modalities, including vision, language, audio, temperature, and robot behaviors, have been the focus of recent research in artificial multimodal representation learning. Nevertheless, the tactile modality is still mostly unexplored when it comes to multimodal…

Google researchers address the challenges of achieving a comprehensive understanding of diverse video content by introducing a novel encoder model, VideoPrism. Existing models in video understanding have struggled with various tasks with complex systems and motion-centric reasoning and demonstrated poor performance across different benchmarks. The researchers aimed to develop a general-purpose video encoder that can…

Unified vision-language models have emerged as a frontier, blending the visual with the verbal to create models that can interpret images and respond in human language. However, a stumbling block in their development has been ensuring that these models behave consistently across different tasks. The crux of the problem lies in the model’s ability to…