AI Stories February 17
AI Stories January 25
Samsung’s Galaxy S8 is just weeks from going official, and we already know quite a bit about the device. Several leaks and rumors have pinpointed that the “Bixby” virtual assistant will debut on the S8, presumably as a rival to Google Assistant. Obviously, Google might not be thrilled about that development, but Samsung says that the competition could take AI “to the next level.”
AI Stories December 20, 2016
After making huge strides with AlphaGo and beginning work on replicating similar victories in StarCraft, Google DeepMind is setting up a new US division (via Bloomberg). Specifically, the first team outside of London will work on more consumer-facing products and on solving “real-world problems at Google-scale.”
AI Stories December 13, 2016
If it wasn’t clear enough, AI, and more specifically the machine learning sub-branch, is a big deal — and not just for Google. It’s not much of a “next big thing” aimed at supplanting everything that has come before it from above, but rather a more silent revolution branching out from underneath.
And it’s being used everywhere…
AI Stories November 23, 2016
Google‘s commitment to staying ahead of the game in the field of artificial intelligence is clear, and with the rise of machine learning in particular (whose usefulness has been proven time and time again in a number of applications) the race for talent-hiring is fierce. And today, the company has scored another significant point.
Following the important catch of ex-Snapchat head of research Jia Li last week, the search giant has today secured another spot in the ever-increasing AI-centered competition between tech companies. This time it comes from Twitter…
A couple of Google announcements today highlight the astonishing progress being made in artificial intelligence. A Google Research blog post explains how the company’s switch to neural learning for Google Translate means that the machine can translate between language pairs it has never explicitly learned, while a DeepMind project showed that AI can lip-read better than people.
The company said that Google Translate no longer has individual systems for each language pair, but instead uses a single system with tokens indicating input and output languages. The AI learns from millions of examples, and it was this that made the team wonder whether it could translate between two languages without specifically being taught how to do so …