Interesting paper on technosgignatures. Spoiler: "Our work also returned eight promising extraterrestrial intelligence signals of interest not previously identified. Re-observations on these targets have so far not resulted in re-detections of signals wit
New paper in Nature Astronomy using deep learning to identify signals in technosignatures for SETI search https://t.co/llPUHPxQKA
ET may have called, and thought nobody home https://t.co/Zt8wg36pEq
RT @hsss_sa: هل نحن وحدنا ؟ يكتشف نظام الذكاء الاصطناعي 8 إشارات غريبة مجهولة المصدر في بيانات الراديو . من المحتمل ألا تكون هذه الإشارات…
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
RT @fcain: More data and machine learning has kicked SETI into high gear - https://t.co/elhP2CYeOh https://t.co/cmDeDnEyFA
More data and machine learning has kicked SETI into high gear - https://t.co/elhP2CYeOh https://t.co/cmDeDnEyFA
RT @NatureAstronomy: Machine learning helps the Breakthrough Listen SETI project: it reduced the number of candidates identified in a 480-h…
RT @hsss_sa: هل نحن وحدنا ؟ يكتشف نظام الذكاء الاصطناعي 8 إشارات غريبة مجهولة المصدر في بيانات الراديو . من المحتمل ألا تكون هذه الإشارات…
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
A link to the PDF. https://t.co/NhwSEOsuC3
SETI = Interstellar SIGINT. https://t.co/i60V7OZOBl
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
#AI might even begin our longest ever long-distance call. @SETIInstitute and the search for #technosignatures in interstellar space. https://t.co/IORnEjAqU3 #AlienWorlds #aliens #panspermia
Wait what? — A deep-learning search for technosignatures from 820 nearby stars | Nature Astronomy https://t.co/8po8lGdQPI
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
RT @NaturePortfolio: A @NatureAstronomy paper presents a machine learning method that could be used to efficiently identify unusual radio s…
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
RT @NaturePortfolio: A @NatureAstronomy paper presents a machine learning method that could be used to efficiently identify unusual radio s…
"Our work also returned eight promising extraterrestrial intelligence signals of interest not previously identified." https://t.co/ASY6Ds6l2W
RT @NatureAstronomy: Machine learning helps the Breakthrough Listen SETI project: it reduced the number of candidates identified in a 480-h…
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
RT @hsss_sa: هل نحن وحدنا ؟ يكتشف نظام الذكاء الاصطناعي 8 إشارات غريبة مجهولة المصدر في بيانات الراديو . من المحتمل ألا تكون هذه الإشارات…
A deep-learning search for technosignatures from 820 nearby stars | Nature Astronomy https://t.co/0NrlEkAPQR
RT @NatureAstronomy: Machine learning helps the Breakthrough Listen SETI project: it reduced the number of candidates identified in a 480-h…
The most comprehensive deep-learning based technosignature search to date, returning 8 promising ETI signals of interest for re- 📄 https://t.co/dQzQ70wwsY https://t.co/f4KFRzDJSV
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
@tszzl Oh this paper? https://t.co/ohVelvbd6u
RT @NatureJapan: 天文学: 宇宙からの電波信号を機械学習で探索する https://t.co/LzNjpH5Rvx
なんこれおもろすぎんか
RT @NatureAstronomy: Machine learning helps the Breakthrough Listen SETI project: it reduced the number of candidates identified in a 480-h…
RT @NatureAstronomy: Machine learning helps the Breakthrough Listen SETI project: it reduced the number of candidates identified in a 480-h…
RT @A_I_News: 天文学: 宇宙からの電波信号を機械学習で探索する | Nature Astronomy - Nature Asia https://t.co/1t5cGK1CRy
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
RT @A_I_News: 天文学: 宇宙からの電波信号を機械学習で探索する | Nature Astronomy - Nature Asia https://t.co/1t5cGK1CRy
KI entdeckt potentielle ET-Signale ("potentiell" ist ein sehr dehnbarer Begriff, aber trotzdem): https://t.co/oYAGuKIIls
A deep-learning search for technosignatures from 820 nearby stars - https://t.co/r6X6EVoUEI - #machinelearning
A deep-learning search for technosignatures from 820 nearby stars https://t.co/FaC4wkitzB
天文学: 宇宙からの電波信号を機械学習で探索する https://t.co/LzNjpH5Rvx
Astronomy: Machine learning combs radio signals from space https://t.co/M5moLkdUwQ
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
لا
RT @hsss_sa: هل نحن وحدنا ؟ يكتشف نظام الذكاء الاصطناعي 8 إشارات غريبة مجهولة المصدر في بيانات الراديو . من المحتمل ألا تكون هذه الإشارات…
Astronomers used machine learning/AI to search 820 stars for artificial extraterrestrial signals. 8 "signals of interest" found, but they haven't repeated yet, making it hard to confirm/identify them. I'll add some other articles to this thread. 🤔 #SETI ht
Astronomers used machine learning/AI to search 820 stars for artificial extraterrestrial signals. 8 "signals of interest" found, but they haven't repeated yet, making it hard to confirm/identify them. I'll add some other articles to this thread. 🤔 #SETI ht
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
RT @A_I_News: 天文学: 宇宙からの電波信号を機械学習で探索する | Nature Astronomy - Nature Asia https://t.co/1t5cGK1CRy
RT @A_I_News: 天文学: 宇宙からの電波信号を機械学習で探索する | Nature Astronomy - Nature Asia https://t.co/1t5cGK1CRy
هل نحن وحدنا ؟ يكتشف نظام الذكاء الاصطناعي 8 إشارات غريبة مجهولة المصدر في بيانات الراديو . من المحتمل ألا تكون هذه الإشارات من ذكاء خارج #الأرض وهي على الأرجح حالات نادرة للتداخل اللاسلكي . https://t.co/ivKZSZowJ0 https://t.co/xqQ1E49Wzy
Astronomy: Machine learning combs radio signals from space ... - Nature Middle East https://t.co/RmmR9y0ixk #machinelearning #ai #technology https://t.co/gvm4dT27uP
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
天文学: 宇宙からの電波信号を機械学習で探索する | Nature Astronomy - Nature Asia https://t.co/1t5cGK1CRy
RT @NaturePortfolio: A @NatureAstronomy paper presents a machine learning method that could be used to efficiently identify unusual radio s…
A deep-learning search for technosignatures of 820 nearby stars. Ma, Ng, Rizk, Croft, Siemion, Brzycki, Czech, Drew, Gajjar, Hoang, Isaacson, Lebofsky, MacMahon, Pater, Price, Sheikh, and Worden https://t.co/CZWF6liFi3
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
A deep-learning search for technosignatures from 820 nearby stars | Nature Astronomy https://t.co/NX8R3oev9g
2 of 2: "The research uses data from the Search for Extraterrestrial Intelligence (SETI) Breakthrough Listen Initiative and identified 8 previously undetected signals of interest, although they have not been re-detected in follow-up observations" - https:/
1 of 2: "A machine learning method that could be used to efficiently identify unusual radio signals from space for further investigation, while filtering out interference, is reported in a paper published in Nature Astronomy" - https://t.co/7jxAqjVfUy
[2301.12670] Peter Xiangyuan Ma, Cherry Ng, Leandro Rizk et al.: A deep-learning search for technosignatures of 820 nearby stars https://t.co/gxDjgK1Phw https://t.co/P0jMjH0fZk #astro_ph_IM
SETIデータに適用。「これまで検出されなかった8個の興味深い信号を特定したが、それらは追観測で再検出はされていない。」 / “天文学: 宇宙からの電波信号を機械学習で探索する | Nature Astronomy | Nature Portfolio” https://t.co/qBnqlaZCR1
Astronomy: Machine learning combs radio signals from space ... - Nature Middle East - Follow @A4ETechnologies for more info #ai #machinelearning https://t.co/WnakgsX31Z
Astronomy: Machine learning combs radio signals from space | Nature Astronomy - Nature Middle East https://t.co/2icjQ36Tuk https://t.co/1v8YTUhvXU
Astronomy: Machine learning combs radio signals from space ... - Nature Middle East https://t.co/DmFS8i60nO https://t.co/DPDTbPlIfE
RT @NatureAstronomy: Machine learning helps the Breakthrough Listen SETI project: it reduced the number of candidates identified in a 480-h…
Astronomy: Machine learning combs radio signals from space ... - Nature Middle East https://t.co/xj5HwteL5T
RT @NatureAstronomy: Machine learning helps the Breakthrough Listen SETI project: it reduced the number of candidates identified in a 480-h…
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
Huge! This is awesome Peter. Good stuff.
RT @NaturePortfolio: A @NatureAstronomy paper presents a machine learning method that could be used to efficiently identify unusual radio s…
RT @musicalscience: link to the paper: https://t.co/2wPqs99aI7 press release: https://t.co/C6thgORgGU
RT @musicalscience: link to the paper: https://t.co/2wPqs99aI7 press release: https://t.co/C6thgORgGU
RT @NatureAstronomy: Machine learning helps the Breakthrough Listen SETI project: it reduced the number of candidates identified in a 480-h…
RT @NaturePortfolio: A @NatureAstronomy paper presents a machine learning method that could be used to efficiently identify unusual radio s…
🛸
A @NatureAstronomy paper presents a machine learning method that could be used to efficiently identify unusual radio signals from space for further investigation. The method was used to identify eight previously undetected signals of interest. https://t.co
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
RT @qffwffq: "...Our work also returned eight promising extraterrestrial intelligence signals of interest not previously identified..." Et…
Pour en savoir plus : A deep-learning search for technosignatures from 820 nearby stars | Nature Astronomy https://t.co/EN5RP77Xlo
A deep-learning search for technosignatures from 820 nearby stars | Nature Astronomy Thanks to share @musicalscience https://t.co/JePP2Jj7BU
link to the paper: https://t.co/2wPqs99aI7 press release: https://t.co/C6thgORgGU
https://t.co/ai8CdIX8go 💥 "A deep-learning search for technosignatures from 820 nearby stars"
"...Our work also returned eight promising extraterrestrial intelligence signals of interest not previously identified..." Et c'est Nature qui le dit Par contre nul ne sait comment ils vont réagir quand en retour ils vont recevoir les signaux de nos ARS
RT @NatureAstronomy: Machine learning helps the Breakthrough Listen SETI project: it reduced the number of candidates identified in a 480-h…
A machine learning method that could be used to efficiently identify unusual radio signals from space for further investigation, while filtering out interference, is reported in a paper published in @NatureAstronomy: https://t.co/c8mS4T1RD6
RT @NatureAstronomy: Machine learning helps the Breakthrough Listen SETI project: it reduced the number of candidates identified in a 480-h…
Supplementary material, including data and code, for the paper led by @peterma02 can be found at https://t.co/hxZzkYGVe2 and the full paper PDF is available at https://t.co/vxvNGiOO8i
RT @NatureAstronomy: Machine learning helps the Breakthrough Listen SETI project: it reduced the number of candidates identified in a 480-h…
RT @NatureAstronomy: Machine learning helps the Breakthrough Listen SETI project: it reduced the number of candidates identified in a 480-h…
RT @NatureAstronomy: Machine learning helps the Breakthrough Listen SETI project: it reduced the number of candidates identified in a 480-h…
RT @NatureAstronomy: Machine learning helps the Breakthrough Listen SETI project: it reduced the number of candidates identified in a 480-h…
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
A deep-learning search for technosignatures from 820 nearby stars - https://t.co/Ik4B0H1LnA https://t.co/gufJBd6Ftc https://t.co/FsHOGhmGoD
A deep-learning search for technosignatures from 820 nearby stars - https://t.co/I9OYexdPXs https://t.co/MeK8350zCM