Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

A develops brand algorithms by looking at both online and offline data points to determine who to reach and where to target them.

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

A new algorithm can identify the most predictive data points that a tipping point is near. Whether you're trying to predict a climate catastrophe or mental health crisis, mathematics tells us to look ...

It is critical for manufacturers such as food processors to recognize that while AI has the potential to become the turbocharger of operations, that transformation rarely happens by simply bolting on ...

White House press secretary Karoline Leavitt on Saturday revealed further details of a deal reached between the U.S. and China over control of the popular social media platform TikTok, sharing that ...