Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic ...

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

Shape memory alloys are exotic materials that can be deformed at room temperature and return to their "remembered," ...

A small town in California was hit by earthquakes once every 22 years for over a century, setting the stage for a major ...

Abrar Ahmed Syed bridges AI research and healthcare by architecting scalable cloud platforms and innovative edge-intelligence ...