News by Subject Technology & Engineering

What does it take for a human to trust a robot? That is what Army researchers are uncovering in a new study into how humans and robots work together. Research into human-agent teaming, or HAT, has examined how the transparency of agents--such as robots, unmanned vehicles or software agents--influences human trust, task performance, workload and perceptions of the agent.

Researchers at Queensland University of Technology (QUT) in Australia have applied artificial intelligence (AI) deep learning techniques to develop a more accurate and detailed method for analysing images of the back of the eye to help clinicians better detect and track eye diseases, such as glaucoma and aged-related macular degeneration.

Gautam Das, a professor in UTA's Computer Science and Engineering Department, worked with University of Maryland School of Medicine physicians to understand whether sleep studies predicted the improved outcomes following surgery for sleep apnea in children. For their analysis, they re-analyzed the data collected during the Childhood Adenotonsillectomy Trial (CHAT), a randomized trial published in 2013 that compared adenotonsillectomy with watchful waiting for seven months to treat sleep apnea in children.

Researchers at Michigan State University say that true, human-level intelligence remains a long way off, but their new paper published in The American Naturalist explores how computers could begin to evolve learning in the same way as natural organisms did -- with implications for many fields, including artificial intelligence.

Applications like web browsers or smartphone apps often use a lot of memory. To address this, a research group co-led by Emery Berger, a professor of computer science at the University of Massachusetts Amherst, has developed a system they call Mesh that can automatically reduce such memory demands. Berger presented this work today at Cppcon, the C++ conference in Aurora, Colorado.

New research from Michigan State University identified characteristics and gender-specific behaviors in kids that could lead them to become juvenile hackers. The researchers assessed responses from 50,000 teens from around the world to determine predictors of hacking and are the first to dig into gendered differences from a global data set.