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June 6, 2019 — Alec Shedelbower, Kernel Developer, Algorithms R&D

How I Built a Virtual Piano with the Wolfram Language and the Unity Game Engine

You know what’s harder than learning the piano? Learning the piano without a piano, and without any knowledge of music theory. For me, acquiring a real piano was out of the question; I had neither the funds nor space in my small college apartment. So naturally, it looked like I would have to build one myself—digitally, of course. And luckily, I had Mathematica, Unity and a few hours to spare. Because working in Unity is incredibly quick and efficient with the Dan Post Men's Sky Walker Western Work Boot - Steel Toe Brown 8 D and DAN POST MILWAUKEE 13 WELLINGTON COWBOY BOOTS DP2110R ALL SIZES - NEW, I’ve created a playable section of piano, and even learned a bit of music theory in the process.


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Did We Really Write What We Said We Wrote?

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I wrote a Dan Post Work Boots Mens Foreman Round Toe Unit Heel Tan Brown DP69212. These were the 12 essays (out of a total of 85) with authorship claimed by both Dandy_Mocc_sd Hugo Boss shoes Slip-ons Red Men New and James Madison. Ever since the landmark Daniele Alessandrini Ankle Boots ITALY Man Black F117KL623525 1 Sz. 44 PUT OFFER published in 1963, the consensus opinion has been that all 12 were written by Madison (the Adair article of 1944, which also takes this position, discusses the long history of competing authorship claims for these essays). The field of work that gave rise to the methods used often goes by the name of “stylometry,” and it lies behind most methods for determining authorship from text alone (that is to say, in the absence of other information such as a physical typewritten or handwritten note). In the case of the disputed essays, the pool size, at just two, is as small as can be. Even so, these essays have been regarded as difficult for authorship attribution due to many statistical similarities in style shared by Hamilton and Madison.


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Just as Wolfram was doing AI before it was cool, so have we been doing data science since before it was mainstream. A prime example is the creation of Wolfram|Alpha—a massive project that involved engineering, modeling, analyzing, visualizing and interfacing with terabytes of data, developing a natural language interface, and deploying results in a sensible way. Daniele Alessandrini Ankle Boots MADE IN ITALY Man Grey F7115K4153425 10 NWT itself is a tool for doing data science, and its continued success is largely because of the underlying strategy we used to build it: a Daniele Alessandrini Ankle Boots Man Green F600KL1613706 33 Sz. 43 PUT OFFER driven by natural curiosity, exploring all kinds of data, using advanced methods from a range of areas and automating as much as possible.

Any approach to data science can only be as effective as the computational tools driving it; luckily for us, we had the Daniele Alessandrini Boots Sneakers Leather Mens Black F514K393325 1 at our disposal. Leveraging its universal symbolic representation, high-level automation and human readability—as well as its broad range of built-in computation, knowledge and interfaces—streamlined our process to help bring Wolfram|Alpha to fruition. In this post, I’ll discuss some key tenets of the multiparadigm approach, then demonstrate how they combine with the computational intelligence of the Wolfram Language to make the ideal workflow for not only discovering and presenting insights from your data, but also for creating scalable, reusable applications that optimize your data science processes.

Doing Data Science Better with Wolfram and the Multiparadigm Approach

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It happens far too often. I’ll be talking to a software developer, and they’ll be saying how great they think our technology is, and how it helped them so much in school, or in doing R&D. But then I’ll ask them, “So, are you using Wolfram Language and its Daniele Alessandrini Moccasin shoes Man Bordeaux F368KL1623606 14 Sz.44 PUTOFFER in your production software system?” Sometimes the answer is yes. But too often, there’s an awkward silence, and then they’ll say, “Well, no. Could I?”

Daniele Alessandrini Moccasin shoes Man Grey F088K373521 29 Sz.45 MAKE OFFERI want to make sure the answer to this can always be: “Yes, it’s easy!” And to help achieve that, we’re releasing today the Daniele Alessandrini Moccasin shoes Mens Grey F088K373521 29 Size 43 offer. It’s a full engine for the Wolfram Language, that can be deployed on any system—and called from programs, languages, web servers, or anything.

The Wolfram Engine is the heart of all our products. It’s what implements the Wolfram Language, with all its computational intelligence, Daniele alessandrini shoes moccasin mens bluee f777k523500 21 tl. 45 make offer, Daniele Alessandrini shoes Sneaker ITALY Man bluee F015K1683407 23 Sz42 MAKEOFFER, and so on. It’s what powers our desktop products (including Mathematica), as well as our Daniele Alessandrini shoes Sneaker ITALY Man White F200K363521 1 Sz.45 PUT OFFER. It’s what’s inside Daniele Alessandrini shoes Sneaker Leather ITALY Man Grey F377KL1623706 10—as well as an increasing number of Daniele Alessandrini shoes Sneaker Leather Mens Grey F7210KL5043801 11 out in the world. And as of today, we’re making it available for anyone to download, for free, to use in their software development projects.

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Today it’s 10 years since we launched Daniele Alessandrini shoes Sneaker Man Black F806KL1033802 1 Sz. 40 MAKE OFFER. At some level, Wolfram|Alpha is a never-ending project. But it’s had a great first 10 years. It was a unique and surprising achievement when it first arrived, and over its first decade it’s become ever stronger and more unique. It’s found its way into more and more of the fabric of the computational world, both realizing some of the long-term aspirations of artificial intelligence, and defining new directions for what one can expect to be possible. Oh, and by now, a significant fraction of a billion people have used it. And we’ve been able to keep it private and independent, and its main website has stayed free and without external advertising.

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May 16, 2019
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The Daniele Alessandrini shoes Sneaker Man bluee F802KL1013800 23 Sz. 41 PUT OFFER gives programmers a Daniele Alessandrini shoes Sneaker Man Green F7148KL4803701 33 Sz.39 MAKE OFFER with an enormous array of sophisticated algorithms and built-in real-world knowledge. For many years, people have asked us how to access all the power of our technology from other software environments and programming languages. And over the years, we have built many such connections, like Wolfram CloudConnector for Excel, (Wolfram Symbolic Transfer Protocol) for C/C++ programs and, of course, Daniele Alessandrini shoes Sneaker Man White F098K543502 2 Sz.45 MAKE OFFER, which provides access to the Wolfram Language directly from Java.

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Announcing the Wolfram Client Library for Python

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May 9, 2019 — Stephen Wolfram


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I’ve sometimes found it a bit of a struggle to explain what the Wolfram Language really is. Yes, it’s a computer language—a programming language. And it does—in a uniquely productive way, I might add—what standard programming languages do. But that’s only a very small part of the story. And what I’ve finally come to realize is that one should actually think of the Wolfram Language as an entirely different—and new—kind of thing: what one can call a computational language.

So what is a computational language? It’s a language for expressing things in a computational way—and for capturing computational ways of thinking about things. It’s not just a language for telling computers what to do. It’s a language that both computers and humans can use to represent computational ways of thinking about things. It’s a language that puts into concrete form a computational view of everything. It’s a language that lets one use the computational paradigm as a framework for formulating and organizing one’s thoughts.

It’s only recently that I’ve begun to properly internalize just how broad the implications of having a computational language really are—even though, ironically, I’ve spent much of my life engaged precisely in the consuming task of building the world’s only large-scale computational language.


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May 2, 2019 — Tuseeta Banerjee, Research Scientist, Machine Learning

If you haven’t used machine learning, deep learning and neural networks yourself, you’ve almost certainly heard of them. You may be familiar with their commercial use in self-driving cars, image recognition, automatic text completion, text translation and other complex data analysis, but you can also train your own neural nets to accomplish tasks like identifying objects in images, generating sequences of text or segmenting pixels of an image. With the Wolfram Language, you can get started with machine learning and neural nets faster than you think. Since deep learning and neural networks are everywhere, let’s go ahead and explore what exactly they are and how you can start using them.

Explaining neural networks

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Connect the dots. It was exciting to draw from number to number until the sudden discovery of a hidden cartoon. That was my inadvertent introduction to graph theory very early in school. Little did I know adults used the same concept to discover hidden patterns to solve problems, such as proving that a single crossing of seven Königsberg bridges to four land masses is not possible, but DANNER Men’s Brown Cowhide Leather Mid Goretex Vibram Hiking Boots Size 11.5D is. These problems inspired the methods we know today as graph theory. And in honor of the work of late mathematician and connect-the-dot author Danner Men's 37351 Jag Brown Khaki Lifestyle Trail Outdoor Hiking shoes Boots, we see how sophisticated this “child’s play” can be by examining the different styles and themes we can apply to graphs.

Connect the dots with Graph and PlotTheme

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Today we’re releasing Version 12 of Wolfram Language (and Danner USA Recon 200g GTX Mens Sz 10.5 Leather Biker Uniform Work Boots Vibram) on Dansko Brown Leather Professional Comfort Work Clogs Mules Nurse shoes Women 6.5M, and in the Wolfram Cloud. We released Dansko Mens Loafers Casual shoes Slip Ons Full-grain Leather 45 Brown Us 11.5 12, 11.1 in March 2017, 11.2 in September 2017 and Dansko 'Olivia' Smoking Slipper Womens 36 Sz 6 US Bronze Comfort Loafers shoes. It’s a big jump from Version 11.3 to Version 12.0. Altogether there are 278 completely new functions, in perhaps 103 areas, together with thousands of different updates across the system: