Now, the firm has announced the formation of a Zurich-based research group dedicated to the field.
Advertisement
Google is consistently exploring all facets of virtual learning with the success of online applications, with a new artificial intelligence lab. Focusing on machines learning for the advancement of its products, Google Research Europe would be based in Switzerland.
Overall, the teams working under Zurich will focus on improving the infrastructure of the now trending artificial intelligence, broadly facilitating research for the community and enabling it to be put to practical use.
Mogenet said that the new research group will primarily focus on machine learning, which allows an AI to learn and improve itself over time; natural language processing, which allows computers to understand normal human speech; and machine perception, which allows computers to understand sensory input like images or sounds.
Google’s machine learning powers many of its tools including Translate, Photo Search, SmartReply for Inbox and many more.
Emmanuel Mogenet, who will lead this unit, said much of the research would be on teaching machines some common sense.
Mogenet is the current head Google’s Zurich site and director of engineering for search.
The Zurich team will focus its efforts on finding ways to improve machine learning infrastructure while also facilitating research in the broader machine learning community, and, finding new ways to put the technology to practical use. And it’s where the Internet giant developed products such as Google-assistant Allo and the Knowledge Graph. This isn’t Google first research center in Europe either.
Google Zurich, the company’s largest engineering office outside the U.S., is behind the engine that powers Knowledge Graph and the conversation engine that powers the Google Assistant in the recently announced Allo messaging platform. For instance, with Google Photos you could search for “cardigan corgi” or “passport” or “birthday celebrations 2014” and the app will bring up the relevant photos.
Advertisement
Machine learning is the most relevant counterpart for driverless technology nowadays, as experienced by Tesla auto users.
