Using publicly available AI foundation models such as OpenAI’s ChatGPT and Meta’s Segment Anything Model (SAM), Duke engineers built an AI microscope platform that can analyze materials as accurately as a trained graduate student in a fraction of the time. The findings point to a new era of autonomous research, where AI systems work alongside humans to design experiments, run instruments and interpret data.

New research suggests that even warnings about near-term job automation do little to shake public confidence. Two political scientists used a survey to see how people would respond to forecasts of the arrival of “transformative AI,” from as early as 2026 to as distant as 2060. They found that shorter timelines made respondents slightly more anxious about losing their jobs, but did not meaningfully alter their views on when job losses would occur or their support for government responses such as retraining workers or providing a universal basic income.

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated at the ER. 

To better spot problematic passages in leases and employee contracts, a team of NYU researchers has created a tool that deploys LLMs to analyze contractual agreements and to characterize clauses.