Sunday, November 15, 2020

BirdNET The easiest way to identify birds by sound Made by Jozef Imrich on a piece of plastic

 Looking for a spooky read? Here are Catholic horror books to keep you up at night. | America Magazine

What is BirdNET? How can computers learn to recognize birds from sounds? The Cornell Lab of Ornithology and the Chemnitz University of Technology are trying to find an answer to this question. Our research is mainly focused on the detection and classification of avian sounds using machine learning – we want to assist experts and citizen scientist in their work of monitoring and protecting our birds. This page features some of our public demonstrations, including a live stream demo, a demo for the analysis of audio recordings, an Android app and its visualization of submissions. All demos are based on an artificial neural network we call BirdNET. We are constantly improving the features and performance of our demos – please make sure to check back with us regularly. We are currently featuring 984 of the most common species of North America and Europe. We will add more species and more regions in the near future. Click here for the list of supported species.

John Leo: Tellers of TruthS -  A Journalist's Call to Accountability —Maureen Mullarkey

In July the Spectator.US ran a polished reflection on the slide of the F-word from curse to commonplace. A latecomer, I thought. Surely someone had detected this slippage long before now. Sure enough, a quick check into Two Steps Ahead turned up “The F-Word Flows Like Ketchup.” In the early Nineties, Leo declared it “all around us now, like air pollution.” His perp-walk of F-addicts included even the The New Yorker, once “a hotbed of decorum and taste” but now “a victim of fashion, a breathless dowager slipping into her first punk miniskirt.”