In this series of videos, learn about the SETI Hackathon and Code Challenge, designed to test data scientists and developers on their ability to write signal-identifying algorithms with the help of radio astronomers and IBM PowerAI platforms and the Watson Data Science Experience environment.


Learn about the SETI Hackathon and Code Challenge, designed to test data scientists and developers on their ability to write signal-identifying algorithms with the help of radio astronomers and IBM PowerAI platforms and the Watson Data Science Experience environment.


1
Introducing the challenge

IBMer Adam Cox introduces the hackathon weekend and SETI scientists and IBM engineers discuss their roles in the endeavor; you will also hear thoughts about the contest weekend from the diverse array of participants.

2
From the winning team

A mechanical engineer, an astronomy PhD candidate, and a planetary science PhD student come together to build a neural-network-based classifier, explaining the challenges they faced throughout the process.

3
The teams speak

The teams describe their projects and the difficulties they faced. Systems engineers, software engineers, physicists – a range of data scientists come together to attempt to construct a classifier algorithm, one that would recognize a signal in the interstellar noise.

 

SETI Code Challenge

You are challenged to create a signal-to-noise reducing classifier algorithm.

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