Recently in the SETI Category


This paper outlines some of the possible advancements for the technosignatures searches using the new methods currently rapidly developing in computer science, such as machine learning and deep learning.

We model the settlement of the galaxy by space-faring civilizations in order to address issues related to the Fermi Paradox.

WHY WE PERFORMED THIS AUDIT: Supporting scientific and technological research to reveal the unknown about Earth, its Sun and solar system, and the universe for the benefit of humankind is an important part of NASA's mission. In 2017, NASA spent approximately $600 million on this type of research largely through grants and cooperative agreements.

The detection of laser radiation originating from space is a positive indicator of Extra Terrestrial Intelligence (ETI).

We apply classical machine vision and machine deep learning methods to prototype signal classifiers for the search for extraterrestrial intelligence. Our novel approach uses two-dimensional spectrograms of measured and simulated radio signals bearing the imprint of a technological origin.

The Search for Extraterrestrial Intelligence (SETI) makes certain assumptions which guide all current search programs. To illustrate some, this includes (1) that interstellar flight is not possible (2) that the motivations of interstellar cultures are based largely on anthropomorphic understandings of homo sapiens (3) that the Fermi Paradox and the Drake equation are the starting point (axioms) of all reasoning

The Search for Extra-terrestrial Intelligence (SETI) aims to find technological signals of extra-solar origin. Radio frequency SETI is characterized by large unlabeled datasets and complex interference environment.

Long range observations in the field of astronomy have opened up our understanding of the Solar System, the Galaxy and the wider Universe. In this paper we discuss the idea of direct in-situ reconnaissance of nearby stellar systems, using robotic probes.

As part of our ongoing search for technosignatures, we collected over three terabytes of data in May 2017 with the L-band receiver (1.15-1.73 GHz) of the 100 m diameter Green Bank Telescope.

For the first time ever, scientists have developed a way for the SETI community to keep track of, and update, all SETI searches that have been conducted and the results.