The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...
A team led by Northwestern University and Shirley Ryan AbilityLab scientists have developed a new technology that can eavesdrop on the hidden electrical dialogues unfolding inside miniature, lab-grown ...
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 ...
Recurrent neural networks are a classification of artificial neural networks used in artificial intelligence (AI), natural language processing (NLP), deep learning, and machine learning. They process ...
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New stem-cell derived platform advances study of neural network maturation
An EEG (electroencephalogram) is a painless test that uses small sensors placed on the scalp to measure the brain's ...
Researchers identify the Functional-Structural Ratio (FSR) as the biological link between age-related hearing loss and cognitive decline, offering a potential new biomarker for dementia risk.
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
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