There were a lot of interesting announcements coming out of Google I/O today, particularly if you're an Android fan. But maybe one of the most interesting initiatives is something the vast majority of Google's users will never use directly: It's big push to speed up machine learning tasks with improved TensorFlow performance.
The money is being used to retain and increase the number of AI researchers as the country seeks a leadership role in the AI marketplace.
At the online travel agency, AI is being used with a twist – it aims to help humans do their jobs better – rather than replace them.
Also launched is a Satori contest with $1M in prizes to developers for their innovative uses for the live open data around the world.
Since 2015, Google has been using its own internally-developed Tensor Processing Unit (TPU) chips to run machine-learning applications inside its data centers at speeds 15 to 30 times faster than traditional CPUs and GPUs.