Schedule

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January 27
1–3:45pm EST
Applications of Wolfram Technologies Latest Advances In Wolfram Technologies
1–1:20pm
EST

Keynote with Jon McLoone

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Jon McLoone
Keynote
with Jon McLoone

Jon McLoone, director of technical communications and strategy at Wolfram Research Europe, discusses new developments based on the Wolfram Language, including Wolfram Programming Cloud, Mathematica Online, and the release of Mathematica 10.

1:20–1:50pm
EST

An Introduction to Mathematica Online

Machine Learning

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Cliff Hastings
An Introduction to Mathematica Online
with Cliff Hastings

Mathematica Online brings the world's ultimate computation system to the modern cloud environment. Learn how to use the power of Mathematica interactive notebooks to work directly in your web browser—with no installation or configuration required—and seamlessly share documents and resources in the cloud. Integration between Mathematica on the desktop and Mathematica Online will also be discussed, along with pricing and licensing options for getting access to both.

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Etienne Bernard
Machine Learning
with Etienne Bernard

In this talk, Etienne presents the new machine learning functionalities of the Wolfram Language (Classify, Predict, and related functions). These functionalities aim to simplify the practice of machine learning by automatizing parts of its workflow. Etienne shows how to use these functions, explains the underlying algorithms, and discusses future developments. This talk was originally delivered at the Wolfram Technology Conference 2014.

1:50–2:10pm
EST

Raspberry Pi and Connected Devices

Geographic Visualization

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Arnoud Buzing, Ian Johnson, and Tom Sherlock
Raspberry Pi and Connected Devices
with Arnoud Buzing, Ian Johnson, and Tom Sherlock

Add the Wolfram Language to single-board devices such as the Raspberry Pi and Arduino for innovative and interesting applications. Arnoud, Ian, and Tom demonstrate how to use Wolfram + connected devices to process readings from a Geiger counter, collect data from a Vernier force sensor, and drive a telescope mount. This talk was originally delivered at the Wolfram Technology Conference 2014.

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Bjorn Zimmermann and Brett Champion
Geographic Visualization
with Bjorn Zimmermann and Brett Champion

An introduction to creating maps in the Wolfram Language, ranging from basic building blocks to built-in functions for creating specific geovisualizations directly from data.

2:10–2:35pm
EST

Wolfram Data Science Platform: Data Science in the Cloud

Enhanced Probability & Statistics

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Dillon Tracy
Wolfram Data Science Platform: Data Science in the Cloud
with Dillon Tracy

Data science in the cloud offers advantages over desktop-based analysis, including improved access to computing resources, shared data, specialized tools, and published results. Wolfram Data Science Platform is a cloud-based data science application designed to capitalize on these advantages, making the Wolfram technology stack—including elements of Mathematica and Wolfram|Alpha—available in a normal web browser. Data science workflows using Wolfram Data Science Platform will be presented, covering import, preparation, analysis, and visualization of data, and the publication and distribution of results. This talk was originally delivered at the Wolfram Technology Conference 2014.

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Gosia Konwerska and Devendra-Kapadia
Enhanced Probability & Statistics
with Gosia Konwerska and Devendra Kapadia

Mathematica 10 includes several major enhancements for probability and statistics. We will present an overview of some of the new functionality, which includes time series modeling, hidden Markov models, and transformations of random processes. Next, we will focus on functionality for data analytics on time series using TimeSeries and EventSeries, the new objects introduced and comprehensively supported in Mathematica 10 that add convenience to working with chronologically ordered data.

2:35–3:10pm
EST

What's New in SystemModeler 4

Image Processing: Accomplish Complex Objectives with High-Level Functions

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Jan Brugard
What's New in SystemModeler 4
with Jan Brugard

SystemModeler 4 vastly expands support for modeling libraries, adds standardized deployment of models to other simulation tools, and deepens integration with Mathematica. Join this talk to get acquainted with a few of the new key features in SystemModeler 4. This talk was originally delivered at the Wolfram Technology Conference 2014.

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Giulio Alessandrini and Markus van Almsick
Image Processing: Accomplish Complex Objectives with High-Level Functions
with Giulio Alessandrini and Markus van Almsick

In the Wolfram Language, we continuously expand and improve the comprehensive set of high-level image processing and analyzing functions. Among the many new additions are sophisticated functions for image foreground and background separation, image segmentation and classification, collage creation, advanced color processing, and comprehensive 3D image support. This presentation will demonstrate how to efficiently implement complex tasks and ideas in a short amount of time by using the easy-to-use and easy-to-read Wolfram Language.

3:10–3:45pm
EST

The Wolfram Language at the Heart of Our Robotics Lab

Symbolic Geometry

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Yves Papegay
The Wolfram Language at the Heart of Our Robotics Lab
with Yves Papegay, INRIA Sophia Antipolis Méditerranée Research Center

Hephaistos Robotics Lab of INRIA Sophia Antipolis is experimenting with combinations of several parallel robots, wire-driven robots, and smaller connected devices. To be efficient, integration of low-level communication, control, and data exchanges, as well as high-level data analysis, planning, and collaborative algorithms, is required. Yves discusses in this talk how his team uses the Wolfram Language for this integration. This talk was originally delivered at the Wolfram Technology Conference 2014.

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Roger Germundsson
Symbolic Geometry
with Roger Germundsson

Roger Germundsson, director of research and development, gives an introduction and overview of geometric computation in Mathematica 10. Types of regions, their computable properties, and the integration with solvers in Mathematica are discussed.