Two-step training helps robots interpret human language

To help robots understand human language when navigating, researchers divided their task into two separate stages: first, interpreting the language in a command and mapping out a path; and then executing the trip.

To build trust in data science, work together

Collaboration is key to building trust in algorithms and big data, according to a new paper by Cornell researchers.

Study explores how robots in the operating room impact teamwork

Cornell researchers took a close look at the impact robotic surgery has on a team in an operating room.

Global Grand Challenges event to spark faculty dialogue

Cross-campus gathering will focus on the biggest challenges facing the world, and help determine a theme on which the university will focus in the 2019-2020 academic year.

The ‘first-gen’ experience at Cornell

Cornell's commitment to accessibility means new and increased efforts to support first-generation students. Throughout Cornell’s history, many of its students have been the first generation in their families to earn a baccalaureate degree.

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‘Minecraft’ modification lets builders show off architectural flair

To harness a video game's educational potential, Cornell computer scientists have developed a modification to 'Minecraft' that uses artificial intelligence to tell players whether their buildings fit into certain architectural styles, and offers ideas for how the structures could be improved.

Using smartphone cameras to track alertness

Cornell researchers developed a tool that tracks alertness by measuring pupil size, captured through a burst of photographs taken every time users unlock their smartphones.

Digital agriculture initiative to tackle food security challenges

In response to the call to action for feeding an ever-growing global population, the Cornell Initiative for Digital Agriculture is taking a multidisciplinary approach to the complex challenge. 

New data science, computational biology departments span colleges

The university is launching two new multicollege departments – one in statistics and data science, and one in computational biology – to meet evolving research needs, encourage collaboration, and improve the quality of teaching and learning in these increasingly essential fields.