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Stephen Wolfram: A New Kind of Data Science

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When it comes to scientific computing, few names are more well known than Stephen Wolfram. He was the creator of the Mathematica, a program that researchers have been using for decades to aid in their computations. Later Wolfram expanded Mathematica into a full multi-paradigm programming language, called Wolfram Programming. The company also packaged many of the Mathematica formulas, and a lot of outside data, into a cloud-based service and API. So at this year’s SXSW Interactive, we spoke with Wolfram about how to use this new cloud service to add computational intelligence into your own programs.

Topics

0:58: The effects of artificial intelligence on the programming community.
3:38: Cognitive overhead on the part of the developer.
10:50: Mathematica usage in actual runtimes.
12:03: Changes in the way developers approach programming with Wolfram Programming API.
18:07: Data characterisation in Mathematica and Wolfram Programming.
21:34: Potential bottlenecks and pain point facing average-sized organizations, and Wolfram as a solution.

Kiran Oliver produced this podcast.

Capital One sponsored this podcast.

The post Stephen Wolfram: A New Kind of Data Science appeared first on The New Stack.


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