Alphabet bought DeepMind for a reported $400 million in 2014. The firm has produced a steady stream of machine learning research – from teaching software to play the strategy game Go better than any human on the planet to creating artificial intelligence that mimicked the human brain's ability to dream and even imagine future actions. Most of these breakthroughs, however, have seemed academic, with potential commercial uses seemingly years or even decades away. In the first year Alphabet owned the company, DeepMind reported zero revenue.
But, according to Bloomberg, when Google showcased its new digital assistant Wednesday in its flagship Pixel phone, laptop computer, and Google Home devices, the company noted how much more natural its computer-generated voice had become. That more human-sounding speech, at least when the assistant speaks in English and Japanese, is thanks to an algorithm DeepMind invented last year and which it took from research to full-scale commercial application inside twelve months.
When DeepMind first published a 2016 paper on WaveNet, a new way of using software to generate speech, tests showed that human listeners rated it more natural-sounding than existing technologies by a 50 percent margin. But the method was too computationally intensive. Even DeepMind’s own researchers said the system was “not something we could deploy in the real world.”
This clarity will be useful for DeepMind’s bottom line. Since joining in 2015, Google’s Chief Financial Officer Ruth Porat has been on a mission to drive down costs across Alphabet, forcing some of Google’s more left-field projects to show a path to profitability.
DeepMind continues to remain independent from its parent company, but its contribution to Google’s product launch is well timed. It reported its first-ever revenues – 40 million pounds ($52 million) in 2016 – from products and services it supplied to other Alphabet companies, according to filings made public on the U.K. business registry Companies House on Monday.
This is just one example of how DeepMind is starting to help Google. Some others that DeepMind has been willing to talk about include supplying algorithms that have helped Google boost the energy efficiency of its data centers by 15 percent, and also improvements to Google’s core ad words product that DeepMind says it cannot detail.
Of course, hiring all the brainpower to produce those algorithms means that DeepMind is still shelling out far more cash than it takes in. The company reported that “staff and other related costs” equaled 104 million pounds in 2016 and the company reported an overall loss of 94 million pounds, nearly double the amount it reported the year before.