“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
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Scientists pinpoint neural roots of schizophrenia and bipolar disorder
For decades, schizophrenia and bipolar disorder have been diagnosed from the outside in, through behavior, mood, and memory ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Revolutionizing fragrance design using deep neural networks (DNNs) scent profiles from chemical data
Scientific research explores the potential of DNNs in transforming fragrance design. By analyzing the sensing data of 180 essential oils, the DNN was trained using the odor descriptor data from 94 ...
The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the tail end ...
Your grade school teacher probably didn’t show you how to add 20-digit numbers. But if you know how to add smaller numbers, all you need is paper and pencil and a bit of patience. Start with the ones ...
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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