Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 43 min ago
PreprintarXiv licencearXiv

The Robots are Coming: Artificial Intelligence Searching for Extraterrestrial Intelligence

Abstract

Breakthrough Listen, humanity's most ambitious search for technosignatures, or evidence of extraterrestrial technology, is carrying out surveys across the sky and across the electromagnetic spectrum, in images, spectra, time series, catalogs, and alerts. Classical techniques still play a major role in the search, but the recent rapid growth in the capabilities of artificial intelligence is enabling new and more powerful algorithms and approaches to be deployed across enormous datasets. Surveys designed to look for technosignatures are still a major focus for the Breakthrough Listen program, but excitingly, the new strategies also enable comprehensive mining of archives and of general-purpose real-time data streams. We outline how artificial intelligence and machine learning are being used to scale up the search, including with the newly-commissioned Vera C. Rubin Observatory, in addition to radio telescopes around the planet. The chances of a detection have never been better.

Related

  1. Solar System Surface Technosignatures: Searching for Signs of Artificial Design on Extraterrestrial Terrain
    Ana Henrique, Sofia Sheikh, Benjamin Fields
    arXivPreprintCC BY 4.0Full textInstrumentation & methodsPlanetary science & exoplanetsarXiv
  2. Light and magnetism in the origin of extraterrestrial enantiomer excesses
    George Cooper, William M. Jackson, Andro C. Rios +2
    ChemRxivPreprintCC BY-NCFull textGeneral astronomyChemRxiv
  3. Catalytic non-energetic formation of diverse peptides on cosmic dust under extraterrestrial conditions
    Serge Krasnokutski, Franciele Kruczkiewicz, Cédrick Bourseau +5
    Communications ChemistryPeer-reviewedCC BY 4.0Full textGeneral astronomyTheoretical & computational chemistryHAL
  4. Future of Artificial Intelligence for Science in Japan 2024 Community Report
    Yoshitaka Itow, Jia Liu, Hirokazu Maesaka +16
    arXivPreprintCC BY 4.0Full textInstrumentation & methodsApplied physics & instrumentationarXiv
  5. Generative artificial intelligence for reconstructing neutron-star matter
    Julia Yu. Panteleeva, Herzallah Alharazin, Evgeny Epelbaum
    arXivPreprintCC BY 4.0Full textHigh-energy astrophysicsInstrumentation & methodsarXiv
BibTeX
@misc{croft2026robots,
  title = {{The Robots are Coming: Artificial Intelligence Searching for Extraterrestrial Intelligence}},
  author = {Steve Croft},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.04449},
  eprint = {2610.04449},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.04449},
}
RIS
TY  - UNPB
TI  - The Robots are Coming: Artificial Intelligence Searching for Extraterrestrial Intelligence
AU  - Steve Croft
PY  - 2026
DA  - 2026/10/03
PB  - arXiv
DO  - 10.48550/arxiv.2610.04449
UR  - https://arxiv.org/abs/2610.04449
AB  - Breakthrough Listen, humanity's most ambitious search for technosignatures, or evidence of extraterrestrial technology, is carrying out surveys across the sky and across the electromagnetic spectrum, in images, spectra, time series, catalogs, and alerts. Classical techniques still play a major role in the search, but the recent rapid growth in the capabilities of artificial intelligence is enabling new and more powerful algorithms and approaches to be deployed across enormous datasets. Surveys designed to look for technosignatures are still a major focus for the Breakthrough Listen program, but excitingly, the new strategies also enable comprehensive mining of archives and of general-purpose real-time data streams. We outline how artificial intelligence and machine learning are being used to scale up the search, including with the newly-commissioned Vera C. Rubin Observatory, in addition to radio telescopes around the planet. The chances of a detection have never been better.
ER  -