A deep-learning search for technosignatures from 820 nearby stars L: https://t.co/FJFmGug9QQ C: https://t.co/zUg4AMf0yF
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
@JimDMiller Wonder what these anomalous signals will turn out to be. https://t.co/USdvvqQRXL
A deep-learning search for technosignatures from 820 nearby stars | Nature Astronomy https://t.co/FvkV1ZVHov
A deep-learning search for technosignatures from 820 nearby stars | Nature Astronomy: eight promising extraterrestrial intelligence signals of interest not previously identified #UFOTwitter Attached media report https://t.co/UMRAlGS0sg https://t.co/ePu
Far out man. #UFO #UFOSightings #uaptwitter #UAPs #UAP #Aliens2023
RT @TroubledMindsR: Source(s) - https://t.co/6kNnrppy16 and https://t.co/8H04qJ0zx7
Source(s) - https://t.co/6kNnrppy16 and https://t.co/8H04qJ0zx7
RT @izzyz: Civilizations with advanced technology should emit technosignatures: radio signals at specific ranges. Filtering millions of hit…
🤔 Dark Forrest theory of empty space debunked by Random Forrest (?) 🚀🌲🚀🌲🚀🌲✨
RT @izzyz: Civilizations with advanced technology should emit technosignatures: radio signals at specific ranges. Filtering millions of hit…
Civilizations with advanced technology should emit technosignatures: radio signals at specific ranges. Filtering millions of hits with AI, researchers found 8 potentially extraterrestrial signs emanating from nearby stars. Accepted in Nature Astrobiology
https://t.co/mGGmA5IhNa @SGfuturist @tiendaoeth
Usar las (aún mal llamadas) inteligencias artificiales entrenadas en el reconocimiento de patrones como tecnomarcadores y otros "modernos" sobre los TB de datos de radiotelescópios que tenemos guardados empieza a dar resultados con señales candidatas a ser
AI systems like #ChatGPT, #Midjourney or #MetaAI have already changed the rules of what is possible by using AI technologies. Now a new machine learning algorithm detected eight radio signals that do not match astronomical or terrestrial sources. 1
Ya están aquiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiii... 👇
WeAreNotAlone. Our work also returned eight promising extraterrestrial intelligence signals of interest not previously identified. https://t.co/cG2gCvSRW8 fuente: https://t.co/7mnpAPgfFi Mira @mmoroca lo que me ha enseñado @asierarranz
[2301.12670] A deep-learning search for technosignatures of 820 nearby stars heres the nature paper btw https://t.co/olltQdpMiX
For all of you that are feeling disappointed the aliens might just be balloons, there is hope. A search of 820 star systems pulled up 8 potential technosignatures. They might be out there https://t.co/47ixfEnsal
@aleruri Check out the abstract! https://t.co/J8GqWxzqVv
Interesting papers of the week time. AI is helping us to find aliens!! 820 stars were scanned finding eight promising signals of interest. https://t.co/VLehm9yL8k https://t.co/is7bhpAyq5 https://t.co/4Mi8GS3U2E
RT @GlobalObserve10: Things that are generally useful to know 😃 From #Nature Astronomy: "Our work also returned eight promising extraterr…
Things that are generally useful to know 😃 From #Nature Astronomy: "Our work also returned eight promising extraterrestrial intelligence signals of interest not previously identified" https://t.co/sfX1cMlBAy
RT @NaturePortfolio: A @NatureAstronomy paper presents a machine learning method that could be used to efficiently identify unusual radio s…
RT @emulenews: #NatureAstronomy A deep-learning search for technosignatures from 820 nearby stars https://t.co/9ROWlJbk9S Will an AI be the…
*Excuse me, 820 stars 😎 https://t.co/leZ6mIlXUv
There's burying the lede and then there's this https://t.co/wP96veYKXA https://t.co/fWD2XlnZZF
A deep-learning search for technosignatures from 820 nearby stars https://t.co/R4AIlkXY8K
RT @emulenews: #NatureAstronomy A deep-learning search for technosignatures from 820 nearby stars https://t.co/9ROWlJbk9S Will an AI be the…
RT @emulenews: #NatureAstronomy A deep-learning search for technosignatures from 820 nearby stars https://t.co/9ROWlJbk9S Will an AI be the…
RT @emulenews: #NatureAstronomy A deep-learning search for technosignatures from 820 nearby stars https://t.co/9ROWlJbk9S Will an AI be the…
#NatureAstronomy A deep-learning search for technosignatures from 820 nearby stars https://t.co/9ROWlJbk9S Will an AI be the first to discover alien life? https://t.co/lnLhC8mmWj cc @pcoffeebreak @SaraRC83 https://t.co/NvWccDkZLS
Deep learning approaches to "search for extraterrestrial intelligence beyond Earth via their ‘technosignatures’." "eight promising extraterrestrial intelligence signals" 👽 uh-oh! 👽 https://t.co/VYvqnYhmBl
A state-of-the-art machine-learning method combs a 480-h-long dataset of 820 nearby stars from the SETI Breakthrough Listen project, reducing the number of interesting signals by https://t.co/20r9K3f7OK #Three dimensional modeling for beginners https:/
A deep-learning search for technosignatures from 820 nearby stars https://t.co/bhpoh5EmHb #science #astronomy #search #technosignatures #stars
RT @sarekore: その後、研究者はこれらの信号を手動で解析し、8つの有望なシグナルを発見しました。ただ、観測から5−6年後に望遠鏡でターゲットをもう一度調べたところ、それらのシグナルは再度観測されませんでした。Nature Astronomy誌https://t.co…
その後、研究者はこれらの信号を手動で解析し、8つの有望なシグナルを発見しました。ただ、観測から5−6年後に望遠鏡でターゲットをもう一度調べたところ、それらのシグナルは再度観測されませんでした。Nature Astronomy誌https://t.co/8jDiDrC0pn
RT @ComeCarpentier: This study reports six 'technosignatures' from exoplanets not too far away. It lends some support to the many reports o…
This study reports six 'technosignatures' from exoplanets not too far away. It lends some support to the many reports of diverse visiting 'alien beings' from various solar systems https://t.co/sbWT5mvyqi
"A deep-learning search for technosignatures from 820 nearby stars" | https://t.co/tTXGjlPxbo | #AI #SETI #Aliens https://t.co/Gsw39PbjGp
Here we go! Beam me up Scott! https://t.co/1BiaQTusta
#AI is helping us search for intelligent alien life—and we've found 8 strange new signals @ConversationEDU @NatureAstronomy https://t.co/gDX5B2wcvM https://t.co/uQORA0uEnR
A deep-learning search for technosignatures from 820 nearby stars and found eight promising extraterrestrial intelligence signals of interest not previously identified. #ai #space #deeplearning https://t.co/VP2BZtJajG
RT @NatureAstronomy: Machine learning helps the Breakthrough Listen SETI project: it reduced the number of candidates identified in a 480-h…
1件のコメント https://t.co/UhrPfvzu5A “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” (2 users) https://t.co/tjVpTyIZ4l
Vielleicht sind wir ja doch nicht alleine ... https://t.co/BzyvPsm36V und stark vereinfacht unter https://t.co/7l5lZCOezR #seti #ml #AI
RT @NatureAstronomy: Machine learning helps the Breakthrough Listen SETI project: it reduced the number of candidates identified in a 480-h…
A deep-learning search for technosignatures from 820 nearby stars https://t.co/wZwZYPHv27
RT @TeahCartel: Using a new machine-learning algorithm, scientists have picked up eight extraterrestrial signals that seem to bear the hall…
Using a new machine-learning algorithm, scientists have picked up eight extraterrestrial signals that seem to bear the hallmarks of technology. https://t.co/evKGshg3oG
RT @NatureAstronomy: Machine learning helps the Breakthrough Listen SETI project: it reduced the number of candidates identified in a 480-h…
https://t.co/USdvvqQRXL Some guys claim they've found a repeating technological seeming signal from a system within 90 light years. https://t.co/MN06q5kaY9 This is just nuts.
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/L20YO2sUDl
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/L20YO2sUDl
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
RT @papercrane111: nevermind! found it! https://t.co/D1j6ksi8K1 https://t.co/SGbaZhc6mR
RT @BerkeleySETI: Supplementary material, including data and code, for the paper led by @peterma02 can be found at https://t.co/hxZzkYGVe2…
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 Portfolio https://t.co/zFaiwmM0TA
Wissenschaftliche Quelle: (Nature Astronomy, 2023; https://t.co/Fg1kWVRbCb)
RT @DrVirionista: الى عشّاق هذا الكون: تمكّن العلماء بعد استخدام تكنولوجيا التعلم الآلي machine learning technology من رصد ثماني إشارات وا…
A deep-learning search for technosignatures of 820 nearby stars https://t.co/Blpn9go78r
nevermind! found it! https://t.co/D1j6ksi8K1 https://t.co/SGbaZhc6mR
nevermind! I found it! LOL https://t.co/D1j6ksi8K1 https://t.co/BGdZXTDt8k
A deep-learning search for technosignatures from 820 nearby stars | Nature Astronomy https://t.co/xeFUMqNUHG
RT @moreisdifferent: huh Paper in Nature Astronomy from yesterday: "Our work also returned eight promising extraterrestrial intelligence…
@MarcusSparsHH Der artikel kostet leider: https://t.co/JYhBdtu8xN
A deep-learning search for technosignatures from 820 nearby stars | Nature Astronomy https://t.co/pd9ZrYaDCL
RT @ds_vault: [2301.12670] A deep-learning search for technosignatures of 820 nearby stars - https://t.co/kZ4KhvFHgd - #machinelearning
[2301.12670] A deep-learning search for technosignatures of 820 nearby stars - https://t.co/kZ4KhvFHgd - #machinelearning
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
RT @tedroe_uap: @Baptiste_Fri Good to see you in Toulouse.. 😁😁😁 you might find this interesting... https://t.co/2V7acbdlnV
@Baptiste_Fri Good to see you in Toulouse.. 😁😁😁 you might find this interesting... https://t.co/2V7acbdlnV
Where did this information originate? This article references a research paper published yesterday by @Nature entitled “A deep-learning search for technosignatures from 820 nearby stars” https://t.co/wsNvNYoCNI
SETI:地球外知的生命体探査に機械学習を使うって話か。ほう・・・ 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/8goKine5mr
Congrats !!! #ufotwitter
RT @summarizedml: The most comprehensive deep-learning based technosignature search to date, returning 8 promising ETI signals of interest…
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
This is my jam
"Our work also returned eight promising extraterrestrial intelligence signals of interest not previously identified." 👀 https://t.co/ss55UZdasr
huh Paper in Nature Astronomy from yesterday: "Our work also returned eight promising extraterrestrial intelligence signals of interest not previously identified" https://t.co/Cxf8XSTxuv (possibly outdated) PDF here https://t.co/chZHdcVw0n Fig 5 show
Our work also returned eight promising extraterrestrial intelligence signals of interest not previously identified. | Nature Astronomy #published #ufotwitter #uap #disclosure #science https://t.co/FKWFN2PBbP
A deep-learning search for technosignatures from 820 nearby stars | @Nature #Astronomy // #AI https://t.co/FIO05NExqb
Fascinating!
8 radio signals exhibiting technosignatures emanating from relatively nearby stars. @elonmusk you have messages from home!
The paper in "Nature Astronomy" the above "Nature" article is based upon, refers to, and links to: “A deep-learning search for technosignatures from 820 nearby stars” https://t.co/rtiqcQzoNB
RT @peterma02: Super excited to FINALLY publish my first authored paper on the search for advanced extraterrestrial life using deep learnin…
@soegeum @JohnUBalis @tszzl Check out the abstract! https://t.co/J8GqWxzqVv
@JohnUBalis @tszzl Damn. I found it at https://t.co/UHRlmHj0lo Now I need a new excuse to not make contact.
@architectonyx Check out the abstract! https://t.co/J8GqWxzqVv
reading the paper, the high-level summary is that they used a variational autoencoder (based) on datasets of radio signals, where some of the data was augmented to include a simulated “true signal” of the radio signals ETI may produce https://t.co/pGimJq6
@JohnUBalis @tszzl arxiv to get past paywall: https://t.co/oS2CPd8kCg
RT @NaturePortfolio: A @NatureAstronomy paper presents a machine learning method that could be used to efficiently identify unusual radio s…
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