Researchers at the Pittsburgh Supercomputing Center and HP Labs have achieved unprecedented speedup of 10X on a key machine-learning algorithm. A branch of artificial intelligence, machine learning enables computers to process and learn from vast amounts of empirical data through algorithms that can recognize complex patterns and make intelligent decisions based on them. For many machine-learning applications, a first step is identifying how data can be partitioned into related groups or “clustered.”
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