While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for ...
With a Master's in Computer Science from Clemson University and extensive experience at leading tech companies, he combines ...
The existing prediction models for severe complications of preeclampsia are most accurate only in the two days after hospital ...
Deep learning works by using multilayered neural networks. To make sense of the data they are fed, such as photos, neural ...
The use of artificial intelligence (AI) technology in the workers’ compensation arena is on the horizon. Given the scale of AI applications and ...
The distinction between AI adoption and business transformation is critical. Early adoption often focuses on augmenting ...
In what is being called a major leap forward for cancer care, researchers have developed an artificial intelligence (AI) ...
SportsLine AI reveals the top Chiefs vs. Eagles Super Bowl prop picks for sites like PrizePicks, Underdog Fantasy, and ...
The existing prediction models for severe complications of preeclampsia are most accurate only in the two days after hospital ...
A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with ...
Prior Labs secures $9.3 million in 'preseed' funding to build foundation models for handling this common, but complex data ...
InsectNet -- which is backed by a dataset of 12 million insect images, including many collected by citizen-scientists -- provides identification and predictions for more than 2,500 insect species at ...