Until 2014, academia predominantly released machine learning systems, but industry has since taken theIn 2022 alone, 32"significant" machine learning systems – the backbone of most AI models – were produced by industry, in contrast to a mere three by academia.
This trend is poised to continue, as the development of cutting-edge AI systems requires substantial quantities of data, computing power, and financial resources – areas where industry actors possess distinct advantages over non-profits and academia.
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