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Computer scientists have written a network flow algorithm that computes almost as fast as is mathematically possible. This algorithm computes the maximum traffic flow with minimum transport costs ...
AI is thought to be only data-driven these days. Let's take a balanced look at AI over time and consider algorithms and process.
6don MSN
Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...
The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.
To simulate blood flow inside brain aneurysms, researchers from Japan have developed a computational method that combines 4D ...
Researchers have devised an "absurdly fast" algorithm to solve the problem of finding the fastest flow through a network.
University of Wisconsin professor of soil science Jingyi Huang and data scientist Maria Oros worked over the summer on a new modeling tool for soil scientists. The pair used machine learning and ...
But if this is a universal understanding, that AI empirically provides a competitive edge, why do only 13% of data science projects, or just one out of every 10, actually make it into production?
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