And in Version 11.2 we’ve actually used machine learning to add automation to our machine-learning capabilities. Our goal is to push the envelope of what’s possible in machine learning, but also to deliver everything in a nice, integrated way that makes it easy for a wide range of people to use, even if they’re not machine-learning experts.
Mathematica 11.2 vs 11.3 full#
By early 2015, we had state-of-the-art deep-learning image identification in ImageIdentify, and then, last year, in Version 11, we began rolling out our full symbolic neural net computation system. We’ve had functionality that would now be considered machine learning in the Wolfram Language for decades, and back in 2014 we introduced the “machine-learning superfunctions” Classify and Predict-to give broad access to modern machine learning. But let’s pick a current hot area: machine learning. But it’s still a thrill for me to see just how much we’re actually able to deliver to all our users in a. Yes, we’ve been consistently building our Wolfram Language technology stack for more than 30 years-and we’ve got a great team. Today, however, I’m just amazed at how fast our R&D pipeline is running, and how much comes out of it every month. Years back there’d be a nice list, but it would be of modest length. 1 release and seeing what new functions are going to be ready for it, it’s a bit like making a party invitation list: who’s going to be able to come to the big celebration? One of my personal responsibilities is to make sure that everything we add is coherently designed, and fits into the long-term vision of the system in a unified way.Īnd by the time we’re getting ready for a release, I’ve been involved enough with most of the new functions we’re adding that they begin to feel like personal friends. Version 11.2 has a mixture of things in it-ranging from ones that provide finishing touches to existing major frameworks, to ones that are first hints of major frameworks under construction. “.1” releases (like 11.2) are intended as snapshots of the latest output from our R&D pipeline–delivering new capabilities large and small as soon as they’re ready.
Integer releases (like 11) concentrate on major complete new frameworks that we’ll be building on far into the future. We have a very deliberate strategy for our releases. But after the summer we’re now ready for another impressive release-with all kinds of additions and enhancements, including 100+ entirely new functions: It was only this spring that we released Version 11.1.
I’m excited today to announce the latest output from our R&D pipeline: Version 11.2 of the Wolfram Language and Mathematica-available immediately on desktop (Mac, Windows, Linux) and cloud.
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