IBM wants to seek extraterrestrial life with cloud computing and machine learning

IBM and SETI Research have collaborated on a research project to find aliens that use IBM's Bluemix Spark technology, cloud computing services and Github platform to bring massive radio astronomy data accumulated by the Allen Telescope array over the past few years to the public. Open and open some data processing tools. The research team hopes that the public can participate actively and find alien life by looking for data anomalies.

If cloud computing technology matured back in 1982, ET might be able to return to its own planet faster.

In the 1982 movie "ET", the lovely alien ET visited the Earth, but was accidentally left behind by his companions. With the help of some kind-hearted local children, the ET trapped on the earth finally returned home.

The tool that helps him communicate with the parent star in the film is not the ultimate remote technology, but a spelling toy for children, an umbrella with aluminum foil, and so on.

IBM wants to use cloud computing and machine learning to seek extraterrestrial life

According to the movie setting, relying on such a simple device more than 30 years ago can communicate with aliens. In fact, this is unlikely. No matter what, today's advanced technologies such as machine learning and cloud computing can be used to find aliens.

At the High Performance Computing Symposium in East London last week, Dr. Francios Luus of IBM Research Labs conducted a three-hour discussion of the deep learning environment and unsupervised machine learning.

Lulls introduced the technology of IBM Bluemix Spark to more than a dozen participants. The Allen Telescope Array is used to find clues to the existence of alien intelligence in the centimeter band, which has produced 6 million signal samples. IBM Bluemix Spark will be used to analyze compressed data sets taken from these samples. The goal of the Lulls team is to use Spark and machine learning techniques to identify data anomalies and discover alien life.

“There is too much data and no one can handle it alone, so we will make this data public and accessible to everyone. This seminar will introduce the application of deep learning technology to meet this challenge. Our research project It is very exciting to be able to help participants discover data that suggests extraterrestrial life."

The research project was initiated by IBM in collaboration with the SETI Institute in Mountain View, California. The project aims to use IBM's data storage services and Bluemix Spark services to analyze the massive radio telescope data accumulated over the past few years.

The team has used IBM's cloud computing services and Github platform to create a raw database that is open to the public. In addition, it exposes some tools for processing this data. Lulls hopes that many people will be able to participate in this project.

"If the SETI team misses the anomalous data, machine learning technology will find them out. This is not a human-machine confrontation, but a cooperation between humans and machines, and perhaps we will get some help from aliens."

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