## TL;DR
AI brings the ocean online -- detecting plastic pollution from satellites, identifying whales from their songs, mapping all tropical coral reefs, and predicting harmful algal blooms. From the Ocean Cleanup to the Allen Coral Atlas, AI-powered ocean monitoring gives humanity visibility into the planet's largest and least-understood ecosystem.

## Core Explanation
Ocean AI: (1) Plastic detection -- satellite multispectral analysis (NIR bands) detects floating debris. ML classifies debris vs natural flotsam. Hydrodynamic models predict transport; (2) Marine life -- bioacoustic AI: passive acoustic monitoring records ocean soundscapes. ML classifies species (whale, dolphin, fish) by call patterns. Camera/AUV: deep learning identifies species from underwater images; (3) Ocean forecasting -- SST prediction (ConvLSTM on satellite + buoy data). Current prediction (altimetry + ML). HAB forecasting (environmental ML); (4) Coral reef -- satellite imagery + shallow-water bathymetry. CNN segmentation: live coral, dead coral, algae, sand. Allen Coral Atlas maps reefs globally.

## Detailed Analysis
The Ocean Cleanup: satellite + aerial surveys identify plastic hotspots. Lagrangian transport models predict accumulation zones. AI interceptors positioned at optimal locations (rivers, coastal areas) capture plastic before ocean entry. Bioacoustic AI: trained on annotated whale song datasets. CNN on spectrograms for species classification. Population monitoring: AI counts individual whales by unique vocal signatures over months. Allen Coral Atlas: Planet Dove satellites (3.7m resolution) + field validation. CNN segmentation produces global reef maps at 5m resolution, updated every 2 weeks. HAB prediction: environmental features (SST, chlorophyll-a, nutrients, wind) -> ML -> bloom probability. NOAA HAB forecasts cover Gulf of Mexico and Great Lakes. Key challenge: ocean data is sparse and expensive -- satellite coverage is limited by clouds, AUV/data is point measurements. ML must handle extreme data sparsity and extrapolate.