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.
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.
Reinforcement Learning, an artificial intelligence approach, has the potential to guide physicians in designing sequential treatment strategies for better patient outcomes but requires significant improvements before it can be applied in clinical settings.
The gift from philanthropist Tom Secunda, co-founder of Bloomberg L.P., will help fund artificial intelligence-related research at Cornell Tech in New York City and at the Cornell Ann S. Bowers College of Computing and Information Science in Ithaca.
OpenAI is planning to introduce its latest open-weight language model in the coming months, marking the first release of its kind since the GPT-2 model.
Cornell’s Sibley School of Mechanical and Aerospace Engineering brought together faculty, students, alumni and industry leaders for a day-long forum titled “Simulation and Design Education: Closing the Skills Gaps in the Age of AI,” hosted April 17 as the annual KK Wang Industry Day.
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.
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.
