NOW BUZZING 무역박람회에 AI 비서와 로봇이 등장한 … · 안경이 스니커즈가 되는 중, 진스의 승부… · CGV 10월 특별상영관 라인업, 영화·…◆
NOW BUZZING 무역박람회에 AI 비서와 로봇이 등장한 … · 안경이 스니커즈가 되는 중, 진스의 승부… · CGV 10월 특별상영관 라인업, 영화·…◆
JELIBI
⌕ SUBSCRIBE
SEOUL · DAILY · ISSUE No.341 WE TRIED IT · THE PICK · BEHIND IT 2026.11.14 · SAT
JELIBI
⌕ SUB
Beauty Body Gadget Bites Buzz World
HOME/GADGET/BEHIND IT
GADGET BEHIND IT · 5 MIN READ

구글 머신러닝, 뉴질랜드 조류 보전에 활용

JD 젤리비 편집국 · 2026.01.07 SHARE · COPY LINK

무슨 발표인가

  • 3년 수집한 수만 건 조류음향 데이터 자동 분류
  • 뉴질랜드 질랜디아 조류 보호구역 내 위협종 추적
  • TensorFlow로 종·개체수·이동 패턴 파악

뉴질랜드

원문 (영어)

Editor’s note: TensorFlow , our open source machine learning library, is just that—open to anyone. Companies, nonprofits, researchers and developers have used TensorFlow in some pretty cool ways, and we’re sharing those stories here on Keyword. Here’s one of them.

Victor Anton captured tens of thousands of birdsong recordings, collected over a three-year period. But he had no way to figure out which birdsong belonged to what bird. The recordings, taken at 50 locations around a bird sanctuary in New Zealand known as “ Zealandia, ” were part of an effort to better understand the movement and numbers of threatened species including the Hihi, Tīeke and Kākāriki.

Because researchers didn’t have reliable information about where the birds were and how they moved about, it was difficult to make good decisions about where to target conservation efforts on the ground. { "play_video": "Play video", "pause_video": "Pause video" } { "play_video": "Play video", "pause_video": "Pause video", "mute": "Click to mute audio", "unmute": "Click to unmute audio", "enable_cc": "Enable Closed captions", "disable_cc": "Disable Closed captions", "disable_ad": "Disable audio description", "enable_ad": "Enable audio description", "video_progress": "Video progress", "aria_value_text": "elapsed time: [[elapsedTime]], total time: [[totalTime]]" } Endangered species include the Kākāriki, Hihi, and Tīekei.

That’s where the recordings come in. Yet the amount of audio data was overwhelming. So Victor—a Ph.D. student at Victoria University of Wellington, New Zealand—and his team turned to technology. “We knew we had lots of incredibly valuable data tied up in the recordings, but we simply didn’t have the manpower or a viable solution that would help us unlock this,” Victor tells us.

원문: Google Blog (Technology/AI) — "Machine learning gives environmentalists something to tweet about" (2026-01-07) 공식 원문: https://blog.google/innovation-and-ai/technology/ai/machine-learning-gives-environmentalists-something-tweet-about/

#Google Blog (Technology/AI)
THE JELIBI BRIEF

A small team that reads too much internet so you don't have to.

SUBSCRIBE →
GADGET

삼성헬스 수면 코칭 업데이트, 데이터 요구사항 완화

GADGET

오픈소스 취약점 스캔 서비스 OSS Scanner 무료 출시

GADGET

메타, 싱가포르 장애인을 위해 AI 안경 1000개 기부

← GADGET BEHIND IT

구글 머신러닝, 뉴질랜드 조류 보전에 활용

젤리비 편집국·2026.01.07·5 MIN
IN THIS PIECE
무슨 발표인가 원문 (영어)

무슨 발표인가

  • 3년 수집한 수만 건 조류음향 데이터 자동 분류
  • 뉴질랜드 질랜디아 조류 보호구역 내 위협종 추적
  • TensorFlow로 종·개체수·이동 패턴 파악

뉴질랜드

원문 (영어)

Editor’s note: TensorFlow , our open source machine learning library, is just that—open to anyone. Companies, nonprofits, researchers and developers have used TensorFlow in some pretty cool ways, and we’re sharing those stories here on Keyword. Here’s one of them.

Victor Anton captured tens of thousands of birdsong recordings, collected over a three-year period. But he had no way to figure out which birdsong belonged to what bird. The recordings, taken at 50 locations around a bird sanctuary in New Zealand known as “ Zealandia, ” were part of an effort to better understand the movement and numbers of threatened species including the Hihi, Tīeke and Kākāriki.

Because researchers didn’t have reliable information about where the birds were and how they moved about, it was difficult to make good decisions about where to target conservation efforts on the ground. { "play_video": "Play video", "pause_video": "Pause video" } { "play_video": "Play video", "pause_video": "Pause video", "mute": "Click to mute audio", "unmute": "Click to unmute audio", "enable_cc": "Enable Closed captions", "disable_cc": "Disable Closed captions", "disable_ad": "Disable audio description", "enable_ad": "Enable audio description", "video_progress": "Video progress", "aria_value_text": "elapsed time: [[elapsedTime]], total time: [[totalTime]]" } Endangered species include the Kākāriki, Hihi, and Tīekei.

That’s where the recordings come in. Yet the amount of audio data was overwhelming. So Victor—a Ph.D. student at Victoria University of Wellington, New Zealand—and his team turned to technology. “We knew we had lots of incredibly valuable data tied up in the recordings, but we simply didn’t have the manpower or a viable solution that would help us unlock this,” Victor tells us.

원문: Google Blog (Technology/AI) — "Machine learning gives environmentalists something to tweet about" (2026-01-07) 공식 원문: https://blog.google/innovation-and-ai/technology/ai/machine-learning-gives-environmentalists-something-tweet-about/

#Google Blog (Technology/AI)
THE JELIBI BRIEF

A small team that reads too much internet so you don't have to.

SUBSCRIBE →
MORE IN BEHIND IT
CJ프레시웨이, 세종파닭 팝업스토어 운영·지역 상생 추진삼성헬스 수면 코칭 업데이트, 데이터 요구사항 완화CGV 10월 특별상영관 라인업, 영화·공연·애니 풍성CGV, 서울 도심 주요 거점서 불꽃축제 영상 10월 3~9일 송출CJ대한통운, 우수시장 박람회서 QR 택배·얼굴인식 결제 지원
THE JELIBI BRIEF

인터넷을 너무 많이 보는 팀이 대신 골라 옵니다.

SUBSCRIBE

바로가기 등록하시면, 더 쉽게 찾아보실 수 있습니다.