Faces transmit social information about goals and motivations that can help learners overcome the inherent difficulty of sharing a teacher's visual perspective, new Cornell psychology research finds.
By examining earthquakes in a fresh way, a modeling revelation discovered in the lab by Cornell engineers helps science inch closer to accurate quake forecasts.
A team from Cornell Bowers CIS has developed AutoPhoto, a robotic system that can roam an interior space and capture aesthetically pleasing photographs through a machine learning process.
The technology, developed in the Department of Human Centered Design, aims to improve the fit and design of clothing and increase the sustainability of online shopping.
Cornell engineers have developed a new tool by combining machine learning and optimization modeling to provide hour-by-hour analysis of New York’s energy needs.
Eight graduate students were awarded 2022 Hsien and Daisy Yen Wu Scholarships. These scholarships recognize graduate students for their academic ability, performance and character as well as financial need.
A Cornell-led collaboration used electrochemistry to stitch together simple carbon molecules and form complex compounds, eliminating the need for precious metals or other catalysts to promote the chemical reaction.
Biologist Alex Flecker and computer scientist Carla Gomes co-led a project that employed AI and around 40 researchers in an attempt to determine optimal placement of around 350 hydropower dams in the Amazon river basin.
A group of graduate students from Cornell is collaborating with students across the country to create a scholarly podcast focused on issues of diversity in archaeology.
