Welcome to Neural Basics, a collection of guides and explainers to help demystify the world of artificial intelligence. One of the more complex and misunderstood topics making headlines lately is ...
Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
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Small changes make some AI systems more brain-like than others
Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity ...
“Over the past decade, deep-learning-based representations have demonstrated remarkable performance in academia and industry. The learning capability of convolutional neural networks (CNNs) originates ...
Cellular electron cryotomography (CryoET) is the dominant technique for studying the structure of interacting, dynamic complexes in their native cellular environment at nanometer resolution. While ...
Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...
Scientists from Tokyo Metropolitan University have used machine learning to automate the identification of defects in sister chromatid cohesion. They trained a convolutional neural network (CNN) with ...
Please provide your email address to receive an email when new articles are posted on . Specificity and accuracy rates were higher among convolutional neural networks (CNNs). Dermatologists with fewer ...
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