If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...

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

Dr. Vishal Sharma [email protected] Not long ago, the word “Artificial Intelligence (AI)” would bring to mind ...

Overview AI in soil health analysis enables faster, more accurate assessment of soil conditions using data from sensors, ...

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

The mathematics protecting communications since before the internet remain our strongest defense against machine-speed ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

While AI models may exhibit addiction-like behaviors, the technology is also proving to be a powerful ally in combating real ...

The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...

A new machine learning tool developed at Princeton will enable researchers to sift through trillions of design options to predict which metal organic framework will be useful in laboratories or ...