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Computation & Analysis

Protecting NHS Patients with the Wolfram Language

The UK's National Health Service (NHS) is in crisis. With a current budget of just over £100 billion, the NHS predicts a £30 billion funding gap by 2020 or 2021 unless there is radical action. A key part of this is addressing how the NHS can predict and prevent harm well in advance and deliver a "digital healthcare transformation" to their frontline services, utilizing vast quantities of data to make informed and insightful decisions. This is where Wolfram comes in. Our UK-based Technical Services Team worked with the British NHS to help solve a specific problem facing the NHS---one many organizations will recognize: data sitting in siloed databases, with limited analysis algorithms on offer. They wanted to see if it was possible to pull together multiple data sources, combining off-the-shelf clinical databases with the hospital trusts' bespoke offerings and mine them for signals. We set out to help them answer questions like "Can the number of slips, trips and falls in hospitals be reduced?"
Robert Cook, European Sales
Education & Academic

Launching Wolfram|Alpha Open Code

Note added 09/29/2021: Some information regarding Wolfram Cloud products described in this post may be outdated. Please visit https://www.wolfram.com/cloud to learn more. Code for Everyone Computational thinking needs to be an integral part of modern education—and today I’m excited to be able to launch another contribution to this goal: Wolfram|Alpha Open Code. Every day, millions […]

Stephen Wolfram
Computation & Analysis

Edit Your NaNoWriMo Novel with the Wolfram Language

If you're like many of us at Wolfram, you probably know that November was National Novel Writing Month (NaNoWriMo). Maybe you even spent the past few weeks feverishly writing, pounding out that coming-of-age story about a lonely space dragon that you've been talking about for years. Congratulations! Now what? Revisions, of course! And we, the kindly Wolfram Blog Team, are here to get you through your revisions with a little help from the Wolfram Language.
Zach Littrell, Technical Content Writer, Technical Communications and Strategy Group John Moore, Marketing and Technical Content Team Lead, Technical Communications & Strategy Group
Computation & Analysis

New in the Wolfram Language: FeatureExtraction

Two years ago, we introduced the first high-level machine learning functions of the Wolfram Language, Classify and Predict. Since then, we have been creating a set of automatic machine learning functionalities (ClusterClassify, DimensionReduction, etc.). Today, I am happy to present a new function called FeatureExtraction that deals with another important machine learning task: extracting features from data. Unlike Classify and Predict, which follow the supervised learning paradigm, FeatureExtraction belongs to the unsupervised learning paradigm, meaning that the data to learn from is given as a set of unlabeled examples (i.e. without an input -> output relation). The main goal of FeatureExtraction is to transform these examples into numeric vectors (often called feature vectors). For example, let's apply FeatureExtraction to a simple dataset:
Etienne Bernard, Lead Architect, Machine Learning
Announcements & Events

Launching Wolfram Player for iOS

UPDATE:

Wolfram Player for iOS is out of beta! You can download it from the App Store today. Learn more in this blog post. It's been a long road. To some degree, we've been working on a Wolfram notebook front end for iOS for about six years now. And in the process, we've learned a lot about notebook front ends, a thing we already knew a lot about. Let's rewind the tape a bit and review.
John Fultz, Director of User Interface Technology
Current Events & History

Celebrating Gottfried Leibniz on the 300th Anniversary of His Death

Today is the 300th anniversary of the death of Gottfried Leibniz, a man whose work has had a deep influence on what we do here at Wolfram Research. He was born July 1, 1646, in Leipzig, and died November 14, 1716, in Hanover, which was, at the time, part of the Holy Roman Empire. I associate his name most strongly with my time learning calculus, which he invented in parallel with Isaac Newton. But Leibniz was a polymath, and his ideas and influence were much broader than that. He invented binary numbers, the integral sign and an early form of mechanical calculator.
Kathryn Cramer, Technical Communications and Strategy Group
Announcements & Events

The 2016 Wolfram One-Liner Competition Winners

Could you fit the code for a fully functional game of Pong into a single tweet? One that gives you more points the more you take your chances in letting the "ball" escape? Philip Maymin did, and took first prize with that submission in the One-Liner Competition held at this year's Wolfram Technology Conference. Participants in the competition submit 128 or fewer tweetable characters of Wolfram Language code to perform the most impressive computation they can dream up. We had a bumper crop of entries this year that showed the surprising power of the Wolfram Language. You might think that after decades of experience creating and developing with the Wolfram Language, we at Wolfram Research would have seen and thought of it all. But every year our conference attendees surprise us. Read on to see the amazing effects you can achieve with a tweet of Wolfram Language code.

Honorable Mention

Amy Friedman: "The Song Titles" (110 characters)

Christopher Carlson, Senior User Interface Developer, User Interfaces
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