Source: MIT AI News
The article discusses a study that reveals over 3,500 animal species are at risk due to human activity and climate change. Researchers like MIT’s Justin Kay are leveraging AI, specifically computer vision algorithms, to track wildlife populations, like salmon, crucial for ecosystems.
They focus on the new model selection technique, CODA, which streamlines the process of deciding which AI model to use from millions available. By enabling an active data annotation approach, researchers can identify effective models for classifying wildlife data efficiently. The team’s work not only enhances model selection efficiency but also opens avenues for innovative ecological monitoring methodologies.
👉 Pročitaj original: MIT AI News
