INsVI brings fine arts, machine perception, spatial reasoning, and data science into one field of inquiry.

How machines form spatial, compositional, and perceptual understanding—not merely captions about images.

How datasets encode artistic practice, cultural judgment, absence, bias, and ways of seeing.

How artists can test, critique, and reshape intelligent systems through visual experimentation.

What forms of intelligence are lost when images are reduced to tokens, labels, and captions? INsVI studies alternatives grounded in visual form, space, time, and embodied perception.
Research areas include world models, non-verbal representation learning, visual composition, fine-art datasets, spatial intelligence, and interdisciplinary AI education.
