GOOGLE'S MACHINE learning software, named TensorFlow after a brand of panty liner with a dry-weave top sheet, has added iOS to its support list.
The technology that powers AlphaGo, the computer that recently thrashed a world champion at a game of posh snakes and ladders, was released to the open source community last November, but has now reached the hands of Apple app developers who can build a neural network right into apps.
Obvious uses could include face recognition, which is great for security or realistic conversational bantz for people who don't have anyone real to talk to thanks to its natural language tool which is really, genuinely called Parsey McParseface.
TensorFlow 0.9 (for medium to heavy days) is already being used on a wide variety of projects, from practical apps to artistic endeavours such as this neural network-scored theme to an advert for multivitamins.
Google is seeking to move towards an AI-first world with initiatives such as Google Assistant, the world's first mobile assistant with psychological baggage.
Other extras in the new edition of TensorFlow include support for Python 3.5, GPU processing on Mac OS and some additions for the TensorBoard visualisation suite.
It will take some time to see exactly what iOS developers will do with TensorFlow, but its availability for iOS, coupled with its open source nature, mean that it can be moulded to suit, suggesting that we could see a lot of interesting things running on Apple but based on Google technology.
After thrashing a puny human in a Go tournament earlier this year, AlphaGo is now gunning for the claimed best player in the world, Ke Jie.
Ke isn't thrilled about the idea because he is concerned that AlphaGo will learn too much from the experience.
“I don’t want to compete with AlphaGo because, judging from its matches with [champion Go player Lee Sedol], AlphaGo is weaker than me. I don’t want AlphaGo to copy my style," he said.
Because it can. µ
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