Overview
AI inoongorora huwandu hukuru hweaudio yepasi pemvura kuti ione, kurongedza, uye kuronda mawhale nedzimwe mhuka dzemumvura nemafoni adzo. Izvo zvine basa pakudzivirira kurova kwengarava, kuderedza ruzha runokuvadza, uye kunzwisisa marudzi atisingawanzoona.
AI muWhale uye Marine Mammal Acoustics inotarisa pane inoshanda kuendesa: kushandura modhi kugona kuita yakavimbika yemazuva ese workflows inopa kukosha kunoyerwa.
Deep Dive
Gungwa harina kujeka kuchiedza asi rinotakura ruzha kwemazana emamaira, saka mhuka dzemugungwa dzinovimba nemanzwi, ndozvinoitawo masayendisiti. MaHydrophone, angave akasungirirwa, akadhonzwa, kana anozvimiririra, anorekodha achienderera, achigadzira materabytes ekuteerera. AI madetector akavakirwa paCNNs uye anodzokororwa kana etransformer modhi anotarisisa ma spectrograms kuti awane whale runhare pakati peruzha rwengarava, tsvaga mhando kubva kune siginicha inonzwika serwiyo rwehumpback kana kukwidziridzwa kwewhale whale, uye kunyange kusiyanisa maitiro ega ega esperm whales nema dolphin. Google Kushandira pamwe neNOAA kwakagadzira humpback whale classifiers kubva mumakumi emakore ekuPacific zvakarekodhwa. Pedyo-chaiyo-nguva yekuona inodyisa masisitimu anozivisa ngarava kuti dzinonoke, zvichibatsira kudzivirira zvakanyanya mungozi yeNorth Atlantic marwere ekurudyi kubva pakubonderana kunouraya.
Technical Insight
Sezvinoita shiri, kufona kunoshandurwa kuita spectrograms uye kunorongwa neakadzika network, asi kugadzika kwepasi pemvura kunowedzera zvipingamupinyi: low-frequency whale call inopindirana neinjini uye seismic-survey ruzha, kupararira kwezwi kunokanganisa zviratidzo, uye data rakanyorwa remhando dzisingawanzo kushomeka. MaDetector anowanzo kurongedzerwa kuyeuka kwakanyanya kuitira kuti mafoni arege kupotsa, ipapo vaongorori vevanhu vanosimbisa zvikamu zvakamisikidzwa. Mamwe masisitimu anomhanya pamabhuoys, achiendesa zvinoonekwa kumahombekombe munguva pfupi yapfuura.
Kubata AI muWhale uye Marine Mammal Acoustics
AI inoongorora huwandu hukuru hweaudio yepasi pemvura kuti ione, kurongedza, uye kuronda mawhale nedzimwe mhuka dzemumvura nemafoni adzo. Izvo zvine basa pakudzivirira kurova kwengarava, kuderedza ruzha runokuvadza, uye kunzwisisa marudzi atisingawanzoona. AI muWhale uye Marine Mammal Acoustics inotarisa pane inoshanda kuendesa: kushandura modhi kugona kuita yakavimbika yemazuva ese workflows inopa kukosha kunoyerwa. Kuvaka kunzwisisa kwakadzama, tora AI muWhale uye Marine Mammal Acoustics semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodikanwa, kujekesa fungidziro, uye patsanura zvinogona kuitwa nehurongwa hwakavimbika kubva kune izvo zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa AI muWhale uye Marine Mammal Acoustics zvinotarisa pamiganho yekufamba kwebasa, kwete madhimoni emuenzaniso, uye kutsanangura nzvimbo dzekutarisa dzevanhu kare. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Kushandisa-level dhizaini inosarudza kana AI inovandudza mhedzisiro chaiyo. Panguva imwecheteyo, Kuita otomatiki nzira yakaputsika inogona kuwedzera matambudziko aripo. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Kushandisa-level dhizaini inosarudza kana AI inovandudza mhedzisiro chaiyo.
Kushandisa-level dhizaini inosarudza kana AI inovandudza mhedzisiro chaiyo. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Yakanaka workflow kusanganisa inogadzira budiriro inowanikwa vashandisi vanogona kuvimba.
Yakanaka workflow kusanganisa inogadzira budiriro inowanikwa vashandisi vanogona kuvimba. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Makesi ekushandisa akakwenenzverwa anoderedza kupera kuneta uye njodzi yekushandisa.
Makesi ekushandisa akakwenenzverwa anoderedza kupera kuneta uye njodzi yekushandisa. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
Pedyo-chaiyo-chaiyo-chaiyo yekurudyi whale yekuona masisitimu anozivisa ngarava kuti dzinonoke uye dzidzivirire kudhumhana kubva kuU.S. East Coast.
Google uye NOAA yakagadzira AI classifiers kutsvaga nziyo dzehumpback whale mumakumi emakore ePacific hydrophone data.
Autonomous glider ine onboard detectors inoongorora kuvepo kwewhale munzvimbo dziri kure dzegungwa.
Project CETI inoshandisa muchina kudzidza kuongorora kutevedzana kwekudzvanya (codas) yesperm whales kuti vadzidze kutaurirana kwavo.
Maitiro Ekuita
AI muWhale uye Marine Mammal Acoustics mukuita
Pedyo-chaiyo-chaiyo-chaiyo yekurudyi whale yekuona masisitimu anozivisa ngarava kuti dzinonoke uye dzidzivirire kudhumhana kubva kuU.S. East Coast.
Pedyo-chaiyo-chaiyo-chaiyo-chaiyo yekurudyi whale yekuona masisitimu anozivisa ngarava kuti dzideredze uye dzidzivirire kudhumhana kubva kuUS East Coast Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye kukanganisa mutengo nekufamba kwenguva.
AI muWhale uye Marine Mammal Acoustics mukuita
Google uye NOAA yakagadzira AI classifiers kutsvaga nziyo dzehumpback whale mumakumi emakore ePacific hydrophone data.
Google uye NOAA yakavaka AI classifiers kutsvaga nziyo dzehumpback whale mumakumi emakore ePacific hydrophone data Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
AI muWhale uye Marine Mammal Acoustics mukuita
Autonomous glider ine onboard detectors inoongorora kuvepo kwewhale munzvimbo dziri kure dzegungwa.
Zvikwata zvinogara zviri nani zvine madhiriji ane onboard detectors anoongorora kuvepo kwewhale munzvimbo dziri kure dzegungwa.
AI muWhale uye Marine Mammal Acoustics mukuita
Project CETI inoshandisa muchina kudzidza kuongorora kutevedzana kwekudzvanya (codas) yesperm whales kuti vadzidze kutaurirana kwavo.
Project CETI inoshandisa muchina kudzidza kuongorora kutevedzana kwekudzvanya (codas) yesperm whales kuti vadzidze kutaurirana kwavo Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Njodzi & Guardrails
Kuita otomatiki nzira yakaputsika inogona kukudza matambudziko aripo.
Matimu anogona kuwedzera otomatiki uye kubvisa kutonga kunodiwa kwevanhu.
Hunhu hunogona kudonha kana zvinobuda zvikasaramba zvichiongororwa.
Implementation Roadmap
Mepu mafambiro ebasa uye ratidza danho repamusoro-soro.
Mepu mafambiro ebasa uye ratidza danho repamusoro-soro. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Tsanangura nzvimbo dzekutarisa dzevanhu isati yazara otomatiki.
Tsanangura nzvimbo dzekutarisa dzevanhu isati yazara otomatiki. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Dzidzisa vashandisi pane zvinokurudzira, nzira dzekukwira, uye mhando dzemhando.
Dzidzisa vashandisi pane zvinokurudzira, nzira dzekukwira, uye mhando dzemhando. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Tevera basa-level zvabuda kuti usimbise kukosha kwakasimba.
Tevera basa-level zvabuda kuti usimbise kukosha kwakasimba. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.