Sara Hooker’s new startup, Adaption Labs, argues that algorithmic innovation, not scale, will define the next era of A.I. Courtesy Adaption

Sara Hooker, a computer scientist known for her work on machine learning at Google and Canadian A.I. startup Cohere, has spent the past few years doing her “tour of duty” across some of the A.I. industry’s most competitive frontier labs. Now, she’s striking out on her own—and taking a rebellious stance against the industry’s most ingrained principles. Hooker and her co-founder, Sudip Roy, have raised $50 million for their new startup, Adaption Labs, they announced yesterday (Feb. 4). The company is centered around the premise that efficient, self-learning training methods—not mass amounts of data and energy—will lead to the best models.

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