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​Google digs deeper on machine learning with new European research lab

Google engineers and researchers will soon be "enjoying Mountain Views of a different kind" with news that the company is opening a Google Research lab in Zurich, dedicated to machine learning.

Claire Reilly Former Principal Video Producer
Claire Reilly was a video host, journalist and producer covering all things space, futurism, science and culture. Whether she's covering breaking news, explaining complex science topics or exploring the weirder sides of tech culture, Claire gets to the heart of why technology matters to everyone. She's been a regular commentator on broadcast news, and in her spare time, she's a cabaret enthusiast, Simpsons aficionado and closet country music lover. She originally hails from Sydney but now calls San Francisco home.
Expertise Space, Futurism, Science and Sci-Tech, Robotics, Tech Culture Credentials
  • Webby Award Winner (Best Video Host, 2021), Webby Nominee (Podcasts, 2021), Gold Telly (Documentary Series, 2021), Silver Telly (Video Writing, 2021), W3 Award (Best Host, 2020), Australian IT Journalism Awards (Best Journalist, Best News Journalist 2017)
Claire Reilly
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Google's Zurich offices will now be home to a dedicated machine learning team.

Google

Google Translate, Google Photo Search, Google Smart Reply -- it made its name in search, but Google is becoming a global powerhouse in machine learning, and it's not stopping any time soon.

The company that calls Mountain View, California, home is now getting a firmer foothold in Europe, announcing the opening of a new Google Research group, based out of the company's Zurich offices.

The research group will be dedicated to machine learning (ML) and exploring how computer intelligence can be used to replicate processes performed quickly by the human brain. Think image recognition, understanding natural language and creating neural networks that can learn tasks and improve over time.

According to Google, the team will be focused on research areas such as machine perception and natural language processing, and will "actively research ways in which to improve ML infrastructure, broadly facilitating research for the community, and enabling it to be put to practical use."