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 ...
PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks Time to event is an important aspect of clinical decision making. This is particularly true when diseases have highly ...
The demand for production-quality software for mining insights from datasets across scales has exploded in the last several years. The growing size of datasets throughout industry, government, and ...
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 ...
Machine learning researchers using MLX will benefit from speed improvements in macOS Tahoe 26.2, including support for the M5 GPU-based neural accelerators and Thunderbolt 5 clustering.
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Machine learning framework boosts residential electricity clustering for demand-response
The National Technical University of Athens (NTUA), one of the DEDALUS scientific partners, has completed a study on grouping residential electricity consumers, based on their historical electricity ...
As HPC enters the exascale era, watchers of the TOP500 list of the world’s most powerful supercomputers will look to see if the updated list, to be released this month at the ISC conference in Hamburg ...
4monon MSN
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 ...
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