Andrea Zampetti

@andrewzampetti.bsky.social

PhD student @ Sapienza University 🇮🇹 🐒🐺🦌Conservation biology 📊 Ecological modeling 📸 Camera-traps 🤖 Leveraging AI to transform wildlife conservation 🐾 📖 https://www.researchgate.net/profile/Andrea-Zampetti-4

Scientists have developed a new artificial intelligence tool to track wildlife high in the trees. TropiCam-AI can identify tree-dwelling species with 95% accuracy, filling a major gap in automated conservation tech that previously focused almost entirely on the ground.

Most wildlife AI focuses on the ground. This model looks up in the trees

When it comes to decoding camera-trap images, artificial intelligence has become all the rage, especially for terrestrial animals, or those that dwell on the ground. But for more evasive species…

mongabay.cc

🚀 TetraDENSITY now has a dedicated web app! Explore the dataset interactively, filter by taxa 🐾, country 🌍 & more. Generate descriptive stats 📊 (overall or subsets), download data 💾 in seconds, and flag missing data or errors ⚠️ Dive in and have fun 🎉 andrewzamp.github.io/TetraDENSITY

TetraDENSITY - A Global Database of Tetrapod Population Density Estimates

Official interactive explorer and publication page for TetraDENSITY, with global tetrapod population density data.

andrewzamp.github.io

A game-changing new opponent has stepped onto the badminton court. But don’t worry; it’s still a beginner. Researchers have developed a robot that can successfully volley a shuttlecock, tracking down the object and moving across the court to send it back to its human adversary: scim.ag/4kz3nKW

Our paper is now out in Nature Human Behaviour! 🎉 We use games from behavioural economics to explore how LLMs behave in repeated social interactions, revealing both self-interested strengths and coordination blind spots, and propose strategies to improve AI-human collaboration.

Nature Human Behaviour@nathumbehav.nature.com · last yr.

What happens when Large Language models play repeated economic games? This new study from @elifakata.bsky.social et al investigates across a range of models and games. www.nature.com/articles/s41...