Cannabis is now entering a similar inflection point, where algorithms may shape what gets grown, how it’s sold, and who wins in a rapidly growing industry.
Robot applications encompass a multitude of edge computing tasks, such as image processing, health monitoring, path planning, and infotainment. However, task scheduling within such environments ...
Revenue cycle management software vendors are increasingly turning to artificial intelligence to give health systems of all sizes – from regional systems such as West Tennessee Healthcare to ...
ABSTRACT: The paper continues the research on algorithms for generating nondeterministic finite automata possessing the following property (the so-called walibad property): among their covering ...
ABSTRACT: Accompanied by the rapid development of society and the growing prevalence of high-rise buildings, vertical transportation has become a critical challenge in urban living and working ...
1 School of Information and Intelligent Engineering, Nantong College of Science and Technology, Nantong, China 2 Faculty of Social, Business and Computer Sciences, Varna Free University, Varna, ...
One of the biggest barriers to using AI successfully is bias, which is one of the terms we defined last time, as follows: Bias, in a general context, refers to a predisposition or inclination towards ...
Abstract: Machine learning (ML) algorithms are being rapidly adopted to perform dynamic resource management tasks in heterogeneous system on chips. For example, ML-based task schedulers can make quick ...
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