In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...
Peer ReviewDownload a summary of the editorial decision process including editorial decision letters, reviewer comments and author responses to feedback. Proteomic techniques now measure thousands of ...
RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in disease pathway discovery.
The use of AI in data collection and analytics is helping to shape the sustainability sector. These tools have incredible potential to help us identify new opportunities for sustainable growth across ...
Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...
Satellite imagery and machine learning (SIML) are increasingly being combined to remotely measure social and environmental outcomes, yet use of this technology has been limited by insufficient ...
In just a few years, large language models (LLMs) have expanded from millions to hundreds of billions of parameters, showcasing the remarkable progress in our ability to engineer and scale massive AI ...
Safe Pro's battle-tested AI leverages years of real-world data to instantly detect small, hard-to-find explosive threats in aerial imagery and video. The technology converts raw data into rapidly ...