The biggest developments in computing
* The Google Deep mind AI beat a worldclass champion Go player
* Current and future Supercomputers are mainly being built and targeted to advanced deep learning and artificial intelligence
* Deep learning is better than people at
* China made a supercomputer nearly three times faster than the previous fastest. The 93 petaflop Sunway TaihuLight
* The USA, Japan, Europe and China have funded projects to develop ExaFlop class supercomputers

In 2016, Nvidia introduced Xavier, the most ambitious single-chip computer they have ever undertaken — the world's first AI supercomputer chip. Xavier is 7 billion transistors — more complex than the most advanced server-class CPU. Miraculously, Xavier has the equivalent horsepower of DRIVE PX 2 launched at CES earlier this year — 20 trillion operations per second of deep learning performance — at just 20 watts.

50 Xavier chips would produce a petaOP (a quadrillion deep learning operations for 1 kilowatt.) A conventional petaflop supercomputer costs $2-4 million and uses 100-500 kilowatts of power. In 2008, the first petaflop supercomputer cost about $100 million.