It's increasingly difficult to discern between content generated by humans and artificial intelligence. To help create more transparency around this issue and detect when AI-generated content is used maliciously, computer scientists are researching ways to label content created by large language models (LLMs). One solution: using watermarks. A new study(opens…

When researchers need to collect data about a worksite’s soil quality, they can run into several problems. Using excavators to access sites can be challenging, expensive, and may limit the ability to collect samples. Once an excavator does return a scoop of soil, scientists must still collect soil samples by…

In the dramatic arts, training artists and actors holds as much importance as teaching tools for expression, according to Carnegie Mellon alumni with ties to Broadway. “Arts education allowed me to see that there was not one way to be, not one way to learn, not one way to process…

Deepfake videos generated by artificial intelligence grow increasingly difficult to identify as false, a challenge that could significantly skew the results of the upcoming presidential election. Laurie Heller(opens in new window), Carnegie Mellon University professor of psychology, collaborated with Hafsa Ouajdi, Oussama Hadder, Modan Tailleur and Mathieu Lagrange of École Centrale…

Picture this: hundreds of ant-sized robots climbing over rubble, under rocks and between debris to inspect the damage of a fallen building before human rescuers explore on-site. Downscaling legged robots to the size of an insect enables access to small spaces that humans and large robots cannot reach. A swarm…

Artificial intelligence rapidly changed the ways that companies screen applicants for positions, and now job seekers themselves use generative AI to navigate this evolving career landscape. According to Sean McGowan, director of employer relations at Carnegie Mellon University’s Career and Professional Development Center(opens in new window) (CPDC), generative AI can be…

Co-painting is by its nature collaborative, and developing data that trains a robot to collaborate is difficult and time-consuming. To get around this complication, CoFRIDA uses self-supervised training data based on FRIDA's stroke simulator and planner. The researchers created a self-supervised, fine-tuning dataset by having FRIDA simulate paintings that consisted…

A new study by a researcher at Carnegie Mellon University assessed cannabis use in the United States between 1979 and 2022, finding that a growing share of cannabis consumers report daily or near-daily use and that their numbers now exceed those of daily and near-daily alcohol drinkers. The study concludes…

Tartan linebacker Kevin Cooke is a Chicago Bears fan who enjoyed watching Brian Urlacher play defense for his favorite football team, but his real hero is his older brother Sean, who also played football for CMU. “Sean was always the person I looked up to on the football field. He…

A tape measure may seem an unlikely tool to identify unconscious bias within an organization, yet in the hands of biologist Nancy Hopkins, it quantified gender bias and became a powerful symbol of the fight for gender equality. At Carnegie Mellon University, during the most recent Scientists & Strategists lecture…

A new study examined the drinking levels and patterns of young adults before, during and after the pandemic. The researchers found alcohol use and alcohol-related problems substantially decreased in heavy-drinking young adults during the pandemic, and these decreases were still evident as the pandemic began to wane. The results are…

Carnegie Mellon University’s Software Engineering Institute(opens in new window) (SEI) and OpenAI published a white paper(opens in new window) that found that large language models (LLMs) could be an asset for cybersecurity professionals, but should be evaluated using real and complex scenarios to better understand the technology’s capabilities and risks. LLMs underlie…

In a lawsuit, the Federal Trade Commission (FTC) said Amazon used a secret algorithm to determine how much to raise prices in a way competitors would follow and that brought the company $1 billion in revenue. Amazon insists the project had a benign aim and was scrapped. In this context, a new study…

“RoboAgent is a critical milestone toward general robotic agents that are efficient learners, effective in novel situations and capable of expanding their behaviors over time,” said Vikash Kumar, adjunct faculty in the School of Computer Science(opens in new window)’s Robotics Institute(opens in new window). “Current robots are highly specialized and…

Large language models (LLMs) use deep-learning techniques to process and generate human-like text. The models train on vast amounts of data from books, articles, websites and other sources to generate responses, translate languages, summarize text, answer questions and perform a wide range of natural language processing tasks. This rapidly evolving…

The COVID-19 pandemic saw a marked surge of e-commerce and online grocery delivery services that persisted past lockdown conditions. The latest work(opens in new window) by Carnegie Mellon University College of Engineering researchers examined the impacts of grocery delivery on energy use, emissions and traffic congestion, and whether there might…

During the COVID-19 pandemic, robots helped Carnegie Mellon University students in the Computational Biology Department complete lab assignments. Joshua Kangas(opens in new window), an assistant professor in the Computational Biology Department(opens in new window) and co-director of the Master of Science in Automated Science(opens in new window) (MSAS) program, said…