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

AI’s biggest constraint isn’t algorithms anymore. It’s data…specifically, high-quality, forward-looking data. It is the “Rare ...

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 ...

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

Artificial intelligence has become a popular tool for job recruiters, in part because programmers can code applicant-screening algorithms to avoid any explicit discrimination in their decision-making ...

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 ...

Through data, algorithms communicate with their environments and get to “know about” and “learn from” what is happening around them. Algorithms without living data are no more than sheer mathematical ...

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

We developed two algorithms to identify patients with stomach, lung, colorectal, breast, and cervical cancers: diagnosis only (algorithm 1), and combining diagnosis, treatments, and medicines ...