Cornell researchers, in partnership with the technology company NVIDIA, have developed a method for creating digital images of cloth that more accurately captures the texture, sheen and translucence of textiles.
A new approach, called WildCAT3D, is making it easier to visualize lifelike 3D environments from everyday photos already shared online, opening new possibilities in industries such as gaming, virtual tourism and cultural preservation.
As researchers are racing to find greener ways to power AI, a new study explores a promising solution: analog in-memory computing, utilizing analog chips.
Students in tech fields now need to target specific organizations that match their interests, skills and values, and tailor their application materials to those specific organizations.
A Cornell research team has introduced a new method that helps machines make connections between what’s on the ground and how it represented on a map – an advance that could improve robotics, navigation systems and 3D modeling.
An interdisciplinary project involving faculty, staff and graduate students is sparking collaborations among those interested in computational, digital and data-driven approaches to the study of history, languages and culture.
In new research that puts the latest models to test in a 3D environment, Cornell scholars found that AI fares well with untangling basic knots but can’t quite tie knots from simple loops nor convert one knot to another.