Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its ...

Net, a hybrid model that improves energy consumption prediction in low-energy buildings, enhancing accuracy and ...

Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how optimized genomic prediction models can reliably forecast flowering time, yield ...

Study: Genetic association and machine learning improve the prediction of type 1 diabetes risk. Image credit: sasirin pamai/Shutterstock.com Researchers performed genetic association analysis and ...

Millions of people are diagnosed with Alzheimer's disease each year, comprising 60% to 70% of dementia cases worldwide. While cognitive impairment and structural brain changes are indicative of ...

Artificial intelligence is rapidly improving hurricane forecasts. Here's what it means for Texas, from track accuracy to storm warnings.

A new AI-driven framework enables highly accurate prediction of RNA splicing and isoform usage for therapeutic applications.

The National Oceanic and Atmospheric Administration has introduced a new suite of weather forecasting models that are driven by Artificial Intelligence and are expected to deliver faster and more ...

A dual-threshold model for measuring the pancreatic tumor marker serum carbohydrate antigen 19-9 (CA19-9) identified patients ...

Ji Chen’s team from Southeast University proposes a bioinspired motion detector based on planar metalens arrays. It realizes an ultra-wide 135° field of view and achieves high-precision perception of ...