Over the last couple of decades, those looking for a cluster management platform faced no shortage of choices. However, large-scale clusters are being asked to operate in different ways, namely by ...
Big data for health care is one of the potential solutions to deal with the numerous challenges of health care, such as rising cost, aging population, precision medicine, universal health coverage, ...
Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...
Conventional clustering techniques often focus on basic features like crystal structure and elemental composition, neglecting target properties such as band gaps and dielectric constants. A new study ...
Nvidia has been more than a hardware company for a long time. As its GPUs are broadly used to run machine learning workloads, machine learning has become a key priority for Nvidia. In its GTC event ...
Chances are that you are already using services powered by artificial intelligence (AI) every day. But what exactly powers machine learning? Let’s take a look at the engine under AI machine learning’s ...
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Novel machine learning-based cluster analysis method that leverages target material property
In materials science, substances are often classified based on defining factors such as their elemental composition or ...
Chances are that you are already using services powered by artificial intelligence (AI) every day. But what exactly powers machine learning? Let’s take a look at the engine under AI machine learning’s ...
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