Still, device - centric AI supported by mobile
machine learning libraries like Apple's CoreML is another segment.
In addition, you can already find a vast assortment of
Machine Learning libraries, complete with algorithms that support specific programming languages.
Not exact matches
The researchers calculated the energies of common crystal structures for a small
library of binary alloys — mixes of two different metals — and then designed a
machine -
learning algorithm that could extract patterns from the
library and guess the most likely ground state for a new alloy.
Image searching on image
libraries, art collections and stock photography agencies can be a pain for most users, but in the age of «Big Data» and «
Machine Learning», using multiple computer algorithms to enhance the user experience has now become a reality and doesn't necessarily have to cost companies the price of a rocket scientist.
Amazon built X-Ray using its expertise in language processing and
machine learning, access to significant storage and computing resources with Amazon S3 and EC2, and a deep
library of book and character information.
Kobo analyzes the titles in a user's
library, and automatically extracts the main topics of interest — using unsupervised
machine learning techniques — and creates a weighting of these interests based on their relative importance to the user.
The artist trained a computer on thousands of vintage black and white mugshots using Google's Tensor Flow
machine -
learning library.
No one needs to imagine that not only are academic journals available to read at any hour instead of locked in a
library across the nation at some Ivy League school, but with the click of a button one can
learn how to make Thai home - cooking without taking classes or traveling, repair a broken spoke after all the shops are closed and watch kitties, puppies or goats do wacky things, all from one
machine.
Take a look into Google's TensorFlow
machine learning, it was originally developed as an open source
library for enthusiasts and researchers at the company.
Google is challenging that with TensorFlow, an open - source AI
library that can be used to build other
machine -
learning software.
«That was the idea behind the
library — to make it a very accessible
library for any text - related
machine learning problems,» Facebook Research Scientist Armand Joulin said.
The system harnesses the NPU inside the Kirin 970 processor, and Google's TensorFlow
library of
machine learning tools.
Finally, Google says that TensorFlow Lite (a more compact version of its open source
machine learning software
library) will be available on Android phones later this year.
In that sense, the original TPU was designed specifically to work best with Google's TensorFlow, one of many open - source software
libraries for
machine learning.
Combining these accelerators with an expansive
library of processor instructions (think of these as training manuals for CPUs that let them specialize in specific tasks like
machine learning), ARM is claiming that Dynamiq will deliver a 50 times increase in «AI - related performance» over the next three to five years.
This means that phones with specialized
machine learning hardware, once they have Android 8.1 installed, can take advantage of this API, which provides a base layer, higher - level
machine learning framework to plug in to, such as Google's own TensorFlow Lite
library.
Another interesting addition is a neural software framework that now features Google's TensorFlow
library, enabling manufacturers that rely on
machine learning to build better experiences when it comes to photography, security, personal assistants, and virtual reality.