Vultures and artificial intelligence(s) as death detectors: High-tech approach for wildlife research and conservation
In order to use remote locations to record and assess the behavior of wildlife and environmental conditions, the GAIA Initiative developed an artificial intelligence (AI) algorithm that reliably and automatically classifies behaviors of white-backed vultures using animal tag data. As scavengers, vultures always look for the next carcass. With the help of tagged animals and a second AI algorithm, the scientists can now automatically locate carcasses across vast landscapes.
When states want to gauge quail populations, the process can be grueling, time-consuming and expensive. It means spending hours in the field listening for calls. Or leaving a recording device in the field to catch what sounds are made -- only to spend hours later listening to that audio. Then,…
Penn State researchers are looking for a safer and more efficient way to use machine learning in the real world. Using a simulated high-rise office building, they developed and tested a new reinforcement learning algorithm aimed at improving energy consumption and occupant comfort in a real-world setting.
Artificial intelligence has long been a hot topic: a computer algorithm "learns" by being taught by examples: What is "right" and what is "wrong." Unlike a computer algorithm, the human brain works with neurons—cells of the brain. These are trained and pass on signals to other neurons. This complex network…