Students from Fast.ai, a small organization that runs free machine-learning courses online, just created an AI algorithm that outperforms code from Google’s researchers, according to an important benchmark, called DAWNBench, from researchers at Stanford.

Analyzing network utilization using Tensorboard

This benchmark uses a common image classification task to track the speed of a deep-learning algorithm per dollar of compute power.

“We entered this competition because we wanted to show that you don’t have to have huge resources to be at the cutting edge of AI research, and we were quite successful in doing so. State-of-the-art results are not the exclusive domain of big companies,” says Jeremy Howard, one of Fast.ai’s founders and a prominent AI entrepreneur (read their blogpost).

[Via]

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