RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in disease pathway discovery.

An artificial vision sensor inspired by the human pupil adapts automatically to light, maintaining clear perception from darkness to glare and sharply improving recognition accuracy in machine ...

Trespassing along a rail corridor remains one of the most important and challenging issues that railroad operators face every day. Trespassing on railroads ...

Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the groundwork for groundbreaking achievement in AI.

Research and applied scholarship that have a positive societal impact require interdisciplinary collaborations. One such area is cyberpsychology, a field that emerged from the growth of new ...

In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Zahra Ghorrati is developing frameworks for human activity ...

PagePeek introduces an AI-powered framework for evaluating leisure and tourism research, integrating semantic, behavioral, and sustainability ...

KUALA LUMPUR: All officers of the Malaysian Border Control and Protection Agency (AKPS) at manual document inspection counters are now required to wear body cameras to record interactions with ...

The finding offers tantalizing clues in the ongoing quest to piece together the origins of ORCs—mysterious, ring-shaped radio signals from space.

In scientific computing, researchers build and use models based on established physical laws. Machine learning differs in that it employs data-driven models to find patterns without prior assumptions.

By Nana Esi Bentumaa BENTUM In the last quarter of 2022, the launch of ChatGPT by OpenAI ignited the spark that burst the flames of interest and dialogue around the possibilities and implications of ...

To define the profiles, researchers analyzed the sleep data of 770 “healthy” young adults ages 22 to 36, indicating they had not been diagnosed with a psychiatric condition, such as bipolar disorder, ...