So how exactly do startups handle the development of these matching algorithms and what can the average entrepreneur learn from these examples?

Researchers at Washington State University (WSU) in the US have developed an algorithm tailored to improve the accuracy of wearable health devices.

Researchers from the National Institutes of Health (NIH) have developed an artificial intelligence (AI) algorithm to help speed up the process of matching potential volunteers to relevant clinical ...

Researchers develop fastest possible flow algorithm Date: June 30, 2024 Source: ETH Zurich Summary: Computer scientists have written a network flow algorithm that computes almost as fast as is ...

Regenstrief Institute announced this week that some of its researchers have developed an eight-point framework designed to assess the validity and accuracy of algorithms to match patient medical ...

Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many algorithms always seem to work efficiently. But in theory, there is no guarantee.

Graph Matching and Edit Distance Algorithms Publication Trend The graph below shows the total number of publications each year in Graph Matching and Edit Distance Algorithms.