Shaoyi Jiang, the Robert Langer ’70 Family and Friends Professor and a world-renowned expert in biointerfaces and zwitterionic materials, has been recognized with a special issue of the journal Langmuir dedicated to his research and lasting impact on the field.
A new artificial intelligence-based method accurately sorts cancer patients into groups that have similar characteristics before treatment and similar outcomes after treatment, according to a study led by investigators at Weill Cornell Medicine.
Leading AI scholars met to discuss fundamental design problems and systemic issues with large language models (LLMs) and how they could better serve the global population.
The technology, developed by a Cornell doctoral candidate, can simulate conversations with different accents and dialects and gives feedback to users on their grammar and pronunciation.
With brain mechanisms as a guide, Cornell researchers are designing low-energy robotic systems inspired by biology and useful for a wide range of potential applications.
A new study from Cornell on AI writing assistants finds these tools have the potential to function poorly for billions of users in the Global South by generating generic language that makes them sound more like Americans.
Cornell researchers have developed a new robotic framework powered by artificial intelligence that allows robots to learn tasks by watching a single how-to video.
Cornell faculty are invited to submit proposals for fully funded Thought Summits to spark interdisciplinary collaborations in data science and AI, with applications due June 16.