Nature

Neural Networks

Neural networks are computational models inspired by the organisation and function of biological neurons. They consist of layers of interconnected units (neurons), each computing a weighted sum of ...
Nature

Graph Neural Network Techniques and Applications

Graph neural networks (GNNs) have emerged as a versatile class of machine-learning models designed to process data structured as graphs, capturing relationships among entities through iterative ...
technologynetworks

Machine Learning Applications in Proteomics

The integration of machine learning into proteomics has fundamentally shifted how researchers approach the analysis of complex biological systems. As mass spectrometry (MS) and other high-throughput ...
Smithsonian Magazine

In the Early Days of Machine Learning, Massive Computers Said George Harrison Was a Woman. A.I. Has Come a Long Way

“Electronic ‘Brain’ Teaches Itself.” That was how the New York Times defined the Mark I Perceptron in a headline on July 13, 1958. Developed at Cornell University by psychologist Frank Rosenblatt (who ...