Would you trust Wiki written by a robot?
After analyzing data from over a quarter million patients, the neural network can predict the patient’s age (within a 4-year range), gender, smoking status, blood pressure, body mass index, and risk of cardiovascular disease.
Ten years and four deadline extensions later, there’s still no winner to show.
You can explore the solar system from the comfort of your home.
Bird’s eye view.
A rather glaring design flaw was recently discovered.
There’s a lot of data to be had — and Google wants it.
It’s never been easier to make an informed, market-based decision about going solar.
A great introduction to how networks work.
T-t-that’s pretty good actually.
Google announced it will get all its 2017 energy from solar and wind.
Can’t wait to see what they come up with.
It all happened because they let the program learn without interference.
You don’t need to change the world for deep learning to have a meaningful impact in your life.
That adds up to a lot of money.
In a rather hilarious turn of events, Google translate has been making some conversions that most people would find a tad inaccurate. When going from Ukrainian to Russian, the word “Russia” would show “Mordor,” “Russians” translated to “occupiers,” and Russia’s foreign minister Sergey Lavrov became “sad little horse.”
Google’s Rachel Potvin took the stage @scale and hinted on just how many lines of code Google uses: a staggering 2 billion.
Ever wondered how Google Maps can predict traffic jams?
Connecting traditionally problematic areas of the world to the Internet is high on the list of many virtual giants already, and some time ago, in 2013, Google also stepped up to the challenge. Their solution was, in classic Google fashion, ambitious, simple, and light.