Building AI systems that learn from multiple sensory inputs such as text, speech, video, real-world sensors, wearable devices, and medical data holds great promise for impact in many scientific areas with practical benefits, such as in supporting human health and well-being, enabling multimedia content processing, and enhancing real-world autonomous agents. This workshop will cover practical methods for designing and deploying AI systems that can sense, learn, and interact with the real world through many sensory modalities. It will cover a spectrum of methods, from lightweight, efficient sensing tools to modern large-scale multimodal foundation models. The workshop will also explore the applications of next-generation AI for extreme sensing, revealing hidden visual information beyond human perception, such as seeing around corners and turning objects into cameras.