If cloud computing became a reality in 1982, the ET in the sci-fi movie “Alien ET†may return to its own planet faster. For those young people who are not well-informed, ET is a lovely alien in the movie with the same name - because his fellow botanist companions left too hastily, he was accidentally left on Earth. Eventually, ET was discovered by local children in a tool room. The children made a long return wave with a spelling machine, an umbrella lined with aluminum foil, and a coffee pot filled with electrodes, and finally succeeded in helping him reach out to his family.
What I said above was just over thirty years ago. Now that we have robot learning and cloud computing technology, can we use advanced technology to find aliens? The answer is: yes.
Just last week at the East London High Performance Computing Center, IBM Research scientist Francios Luus from the South Africa headquarters hosted the conference on deep learning computing and autonomous machine learning. The annual meeting lasted three hours.
Luus introduced the twelve participants of the IBM Bluemix Spark project, who will analyze the compressed data based on the 6 million signal samples collected by the Allen Telescope array. The Allen telescope array was originally designed to efficiently conduct multiple alien research at the same wavelength. The goal of the participants was to find abnormal data about extraterrestrial life through the combination of Spark and machine learning techniques.
"Compared to studying machine learning here, if we can find extraterrestrial life elsewhere, it must be more exciting," Luus said.
“It's just too much for a single person to handle this data, so we allow anyone to access it. We'll talk about the application of deep learning technology in dealing with challenges at the seminar—it will help participants discover similar things about life. Exceptional data values ​​and visualizations are just as exciting."
We only worked hard to integrate IBM and part of the SETI InsTItute Institute in Mountain View, California, while using IBM's storage services and IBM's Bluemix Spark service to analyze the large collection of radio telescope data they had collected over the past few years.
The team has built a system based on the IBM cloud and Github that provides raw data to the public. There are also tools to see what data Github has.
Luus very much hopes that this work will get everyone's approval. "Machine learning can find any abnormal data missed by the SETI team. This is not a man-machine confrontation. This is a man-machine assistance job, and perhaps the addition of aliens."
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