Google Dex language simplifies array math for machine learning

LLVM-powered experimental language for array processing aims for an important corner of the math library space

Google Dex language simplifies array math for machine learning
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Engineers at Google have unveiled Dex, a prototype functional language designed for array processing. Array processing is a cornerstone of the math used in machine learning applications and other computationally intensive work.

The chief goal for the Dex language, according to a paper released by Google researchers, is to allow programmers to work efficiently and concisely with arrays using a compact, functional syntax.