A new study led by Georgia Tech might confirm this suspicion. Using recently acquired data from more than 10,000 adolescent ...

Actors have been trained for more than a century using techniques rooted in late 19th-century psychology. According to acting ...

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

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 ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in complex two-dimensional (2D) data, with potential applications ranging from ...

Researchers have found a new approach to finding shortest paths, but it's complex Systems Approach Last year a couple of people forwarded to me the same article on a new method of finding shortest ...

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 ...

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 ...

The nearest neighbor problem asks where a new point fits into an existing data set. A few researchers set out to prove that there was no universal way to solve it. Instead, they found such a way. If ...

Journal of Coastal Research, Special Issue No. 93: Advances in Water Resources and Exploration (FALL 2019), pp. 646-651 (6 pages) In order to effectively reduce the cost and completion time of ...