Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.

Combining microscopy, scanning, and deep learning enables more precise imaging of functional dynamics in neural networks of human cortical organoids.

Assessing mortality trends among patients with lip and oral cavity cancer due to tobacco consumption: A systematic analysis of the Global Burden of Disease-2021.

A systematic review of 161 peer-reviewed publications found that AI research in food safety has expanded rapidly, rising from ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

A new study published in PNAS Nexus by researchers at Carnegie Mellon University (CMU) demonstrates how a noninvasive brain-computer interface (BCI) powered by artificial intelligence (AI) deep ...

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...