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The team identified 1,519 candidate signals that could not be attributed to radio frequency interference. After algorithmic processing, matching the signal properties with known disturbances, and extensive visual inspection, no convincing evidence of technological signatures was found.
Akshay Suresh, a graduate student at Cornell University, is leading an unusual scientific activity - a groundbreaking mission called BLIPSS to detect periodic signals emanating from the center of the Milky Way
A new project called Signal in Space simulates how Earth will respond to a signal from aliens and invites the public to help decode an extraterrestrial message (roughly)
To filter out unwanted noise and identify interesting signals, the researchers used a machine learning algorithm called a convolutional neural network (CNN). CNNs are a type of artificial neural network that can recognize patterns in data, such as images or sound waves
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