‘Bottling’ human intuition for AI-led materials discovery

A Cornell researcher and collaborators have developed a machine-learning model that encapsulates and quantifies the valuable intuition of human experts in the quest to discover new quantum materials.

AI can write your college essay, but it won’t sound like you

Students who plan to use ChatGPT to write their college admissions essays should think twice: Artificial intelligence tools write highly generic personal narratives, even when prompted to write from the perspective of someone with a certain race or gender.

Balancing the promise of health AI with its carbon costs

The health care industry is increasingly relying on AI – in responding to patient queries, for example – and a new Cornell study shows how decision-makers can use real-world data to build sustainability into new systems.

Holocaust testimony is AI litmus test, and it fails

A Cornell historian argues in a new paper that human historians are vital to capture the emotional and moral complexity behind world events.

National Science Foundation announces Cornell-led AI Materials Institute

The NSF, in partnership with Intel, will invest $20 million over five years to establish the Artificial Intelligence Materials Institute at Cornell, as part of the National Artificial Intelligence Research Institutes.

Optimism about AI lowest in US, says A&S dean

Peter John Loewen, the Harold Tanner Dean of Arts and Sciences, shared takeaways from his decade-long AI research during a lecture kicking off the Cornell University School of Continuing Education’s Summer Events Series.

AI tool helps students build confidence speaking foreign languages

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.

Amazon’s AI assistant struggles with diverse dialects, study finds

New Cornell research has implications for the increasing number of online platforms that are incorporating chatbots based on large language models.

Linking pay to performance boosts AI use in decision-making

Contrary to highly cited research from more than 30 years ago, an incentivized pay structure will lead to greater reliance on AI in decision-making than flat, fixed compensation, according to a study co-led by a Cornell researcher.