A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
Modern neuroscience and the computational modeling of the activities of vast, integrated neural networks provide fruitful accounts of how our minds work and learn.
Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
AI is ultimately a story about selfhood—and the answer will not be found in the machine, but in what mindful awareness allows ...
18hon MSN
Key to human intelligence lies in how brain networks work together, neuroimaging study suggests
Modern neuroscience understands the brain as a set of specialized systems. Aspects of brain function such as attention, ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
An old puzzle in particle physics has been solved: How can quantum field theories be best formulated on a lattice to ...
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