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What does Wildlife Insights’ documented AI assistance do with camera-trap photos?

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  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