"Artificial Neural Networks (ANN) are incredibly successful subfield of artificial intelligence (AI). ANNs are everywhere and their introduction to the world is accelerating as new applications for ANNs are launched. No profession is exempt: medicine, law, financial services and science. The robot revolution threatened blue collar jobs in the 1970s. The AI revolution threatens white collar jobs. ANNs are successfully helping medical doctors detect and predict disease. Language comprehension ANNs based on transformers are ...
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"Artificial Neural Networks (ANN) are incredibly successful subfield of artificial intelligence (AI). ANNs are everywhere and their introduction to the world is accelerating as new applications for ANNs are launched. No profession is exempt: medicine, law, financial services and science. The robot revolution threatened blue collar jobs in the 1970s. The AI revolution threatens white collar jobs. ANNs are successfully helping medical doctors detect and predict disease. Language comprehension ANNs based on transformers are reading legal contracts and making recommendations. Scientists use ANNs to understand experimental data, model protein folding and hurricane modeling - and it is just beginning. AI is on the agenda, in the news (for good reasons - and bad), discussed by think tanks and government policy makers. The AI they are usually discussing is based on ANNs. ANN techniques are specializing as they adapt to natural language process, image recognition, problem solving and generative applications, but they still share certain canonical properties."--
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