"Researchers have used thermal imaging technology to reveal and track the movements of bird species that travel at night. Some birds complete legs of their migrations at night because the air is cooler than during the day, and possibly to make it more difficult for predators to see them."
"Many artificial-intelligence models designed to predict a person's risk of stroke or diabetes are trained on dubious datasets. Researchers found that many such models used one of two open-access health datasets that provide little information about where the data come from."
"The US National Science Foundation has announced a record number - 2,599 - of prestigious Graduate Research Fellowship Program awards. The increase came as a surprise after the number of awards was cut in half last year."
Thermal imaging technology has been utilized to track the movements of nocturnal bird species, which migrate at night to avoid predators and cooler air. This advancement allows researchers to identify vulnerable species affected by threats such as wind turbines and light pollution. Additionally, many AI models predicting health risks like stroke and diabetes are based on questionable datasets, raising concerns about their reliability. The US National Science Foundation has awarded a record number of Graduate Research Fellowship Program awards, focusing on quantum science and AI as key priorities.
#thermal-imaging #night-flying-birds #ai-health-models #graduate-research-fellowship #vulnerable-species
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