Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ring, clumps, mill, flock, by training a physics-informed AI to learn the ...
Abstract: This paper introduces a novel risk evaluation and prediction model based on the GABP neural network. Initially, a K-means clustering model categorizes events into three risk levels: high, ...
A Planet Analog article, “ 2N3904: Why use a 60-year-old transistor? ” by Bill Schweber, inspired some interest in this old ...
Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ...
Recurrent Neural Networks (RNNs) are AI models designed to process sequential data, capable of sequentially handling words and temporarily storing previously processed information in short-term memory ...
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6 steps to train an AI model to do whatever you want
A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
Max Delbrück Center for Molecular Medicine in the Helmholtz Association Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment.
Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...
Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...
Scientists at Northwestern University have developed a groundbreaking nickel-based catalyst that could transform the way the world recycles plastic. Instead of requiring tedious sorting, the catalyst ...
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