야생동물 보존 퀴즈의 AI

퀴즈를 풀면 정답과 설명이 나타납니다.

1. What does Wildlife Insights’ documented AI assistance do with camera-trap photos?
   • Predicts species labels and can identify blank images for review
   • Guarantees identification of every animal in any ecosystem
   • Tracks individuals from satellite radar alone
   • Measures water quality from pipe vibrations
2. What sound event did the cited tropical-forest study train a CNN to detect?
   • Every kind of chainsaw and vehicle noise worldwide
   • Gunshots in acoustic recordings from a Belize forest study
   • Bird species in all habitats without training data
   • Water leaks in urban plastic pipes
3. In the cited animal re-identification paper, what visual cues can help distinguish patterned individuals?
   • GPS serial numbers attached to every animal
   • Barcodes implanted under the skin
   • Distinctive markings such as stripes, spots or other body patterns
   • The color of the habitat alone
4. What type of patrol strategy does PAWS compute under uncertainty about poacher behavior?
   • A single fixed route used every day
   • A route based only on animal migration distance
   • A path that guarantees no poaching incidents
   • A mixed strategy that makes patrol routes less predictable
5. Why did the cited camera-trap study use transfer learning for species identification?
   • It can reuse features learned from a larger related dataset when target labels are limited
   • It removes the need for training or validation images
   • It guarantees perfect accuracy for rare species
   • It replaces camera-trap images with GPS coordinates
6. What did the cited thermal-drone study evaluate for nocturnal wildlife surveys?
   • Universal nighttime detection of every species and intruder
   • Thermal detection of white-tailed deer under the study’s warm-weather conditions
   • Species identification from satellite soil-moisture maps
   • Autonomous tracking of animal migration across continents
7. Which historical data does the PAWS paper use to inform patrol planning?
   • Only tourist social-media posts
   • Only satellite pictures of clouds
   • Past patrol and poaching records from protected areas
   • Only DNA samples from captive animals
8. How many species did the cited Snapshot Serengeti study train deep CNNs to identify, count and describe?
   • 4 species in 32 images
   • 480 species in a million satellite scenes
   • One species from 3.2 million audio files
   • 48 species in the 3.2-million-image dataset