Google's AI unit says revenue jumped 158% in 2019

Losses at DeepMind AI also widened during the period

A pedestrian walks past a building at the Google campus in Mountain View, California, U.S., on Wednesday, Dec. 16, 2020. On Wednesday, Texas Attorney General Ken Paxton filed an antitrust lawsuit against Alphabet Inc.'s Google. At its center is a bold claim: Google colluded with archrival Facebook Inc. in an illegal deal to manipulate auctions for online advertising, an industry the two companies dominate. Photographer: David Paul Morris/Bloomberg
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Alphabet-owned Google waived a 1.1 billion-pound ($1.5bn) loan to DeepMind Technologies in 2019, after the UK-based artificial intelligence lab continued to ramp up the scale of its research and development.

Revenue jumped 158 per cent in 2019, DeepMind said in a financial filing this week. Sales were £265.5 million, up from £102.8m a year earlier. Its losses also widened, increasing 1.4 per cent to £476.6m.

DeepMind’s parent has agreed to continue funding the company for at least a year after the report’s approval. Alphabet’s Google Ireland unit waived the repayment and interest from a 1.1bn-pound loan, the majority issued in early 2018, an amount big enough to cover DeepMind’s losses.

Google acquired DeepMind in 2014 in a £400m acquisition that gave the Silicon Valley search giant access to cutting edge AI research. DeepMind chief executive Demis Hassabis’s goal is to produce general-purpose intelligence that can solve an array of problems. It develops products used by its parent company – like its system for making data centres more energy efficient and a program to improve the accuracy of travel times on Google Maps – as well as AI with broader applications.

The company’s technology for predicting the shape of proteins, which has potential uses for everything from drug research to designing enzymes that can break down pollutants, came first in a scientific competition devoted to the topic in November. DeepMind’s CASP victory may open the way for it to make its tool, called AlphaFold, more broadly available to researchers.

“During the period covered by these accounts, DeepMind laid the foundations for our groundbreaking results in protein structure prediction,” a DeepMind spokesperson said in a statement. “Our teams were involved in a huge range of projects, from improving the predictability of wind power to accelerating ecological research in the Serengeti.”