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 ...

An important leap for artificial intelligence in recent years is machines’ ability to teach themselves, through endless practice, to solve problems, from mastering ancient board games to navigating ...

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

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

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

As computing power has increased and data science has expanded into nearly every area of our lives, we have entered the age of the algorithm. While our personal and professional data is being compiled ...

The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well production and independent variables. "Jump ...

One fact about machine learning and data algorithms that may surprise business users is that there aren’t actually that many of them. This topic can get overwhelming for busy professionals. But in ...

How to recognize and use array and list data structures in your Java programs. Which algorithms work best with different types of array and list data structures. Why some algorithms will work better ...