Amazon and Microsoft are teaming up on A.I. without Google and collaborating on technology developers to build machine learning models faster.
Amazon and Microsoft joined hands to unveil Gluon, a deep-learning interface that would allow developers to build machine learning models faster, with greater ease and without compromising on performance.
As part of the deal, Amazon’s subscription-based, cloud-computing service, Amazon Web Services (AWS), and Microsoft’s Artificial Intelligence and Research Group would be working in tandem on Gluon.
More Power to Your Elbow
Based on neural network technology, Gluon would allow developers to “prototype, build, train and deploy sophisticated machine learning models for the cloud, devices at the edge and mobile apps,” the companies said in a joint release.
This is great news for developers, who would now be able to leverage the combined expertise of Amazon and Microsoft to get up and running faster. Gluon allows developers to use templates created by Microsoft and AWS, and tweak these according to an application’s specific needs, removing the need for developers to invest huge amounts of time and effort to understand how to use machine learning techniques.
“Developers who are new to machine learning will find this interface more familiar to traditional code, since machine learning models can be defined and manipulated just like any other data structure,” the joint release said. Gluon is based on the Python programming language.
Teaming Up Against Google
Although Amazon and Microsoft compete in the cloud computing space, they are making attempts to identify opportunities for the “cross-pollination of talent,” as Microsoft chief, Satya Nadella, put it at the GeekWire Summit earlier this week.
The two companies had announced plans in August to work together to enable their respective voice assistants, Alexa and Cortana, to speak to one another.
This marriage sidelines Google, which has its own machine learning software, TensorFlow. Initially meant for internal use, Google made this now-popular AI framework available for anyone to use in November 2015.