Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ring, clumps, mill, flock, by training a physics-informed AI to learn the ...
Using medical datasets is also preferable because all patients who were treated for a particular cancer are analyzed. In ...
A new test from OpenAI aims to understand how close AI is to outperforming humans at economically valuable work.
I N YEARS GONE by, the wait for the announcement of winners of the Nobel prizes was a period of fun but largely uninformed ...
This valuable study analyzes aging-related chromatin changes through the lens of intra-chromosomal gene correlation length, which is a novel computational metric that captures spatial correlations in ...
Abstract: Weather conditions directly affect sectors such as agriculture and transport. With climate change, unpredictability is increasing and traditional calculation methods may not be sufficient.
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
The core of this patent lies in analyzing users' historical data to extract their preferred bus routes. At the same time, it dynamically determines the probability of them being bus users by combining ...
In patients on mechanical ventilation, insufficient or excessive respiratory drive and effort were associated with higher ICU ...
An AI model just cracked the top 10 in a global prediction contest, signaling how machines are reshaping the future of ...
IT and business consulting services firm CGI outlines the importance of geospatial data for modern government operations ...
Abstract: Agriculture is one of the principal economic activities of the India on agriculture for their livelihood. This study presents a crop disease prediction system utilizing the Orange data ...
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