A first-of-its-kind artificial intelligence (AI)-based neural network can rapidly analyze and interpret millions of cells from a patient sample, predicting molecular changes in the tissue. It can ...

Researchers combine acoustic monitoring with a neural network to identify fish activity on coral reefs by sound. They trained the network to sort through the deluge of acoustic data automatically ...

The ability to predict outcomes and trends can mean the difference between thriving and merely surviving. Enter artificial neural networks (ANNs)—the powerful tools that are revolutionizing predictive ...

Powering artificial intelligence comes with a massive energy bill attached. Professor Wolfgang Maaß and his research team at Saarland University and the German Research Center for Artificial ...

Artificial neural networks (ANNs) are computational models that are loosely inspired by their ... they are cross-listed in several fields and section journals – increasing your reach even more and ...

Subsequently, the IDCAN-BiLSTM model employs a Dynamic Convolutional Neural Network (DCNN) to extract the local features of reviews, thereby increasing sensitivity to specific sentiment words.

Leading global financial institution Sber's GigaChat 2 MAX model ranks first among AI models, and compared to international ...

The field of AI is notoriously filled with jargon. To better understand what is going on, here is a series of explainers, ...

AI's growing role in business and society demands a deeper understanding of their history, capabilities and limitations.

International Iberian Nanotechnology Laboratory (INL) researchers have developed a neuromorphic photonic semiconductor neuron capable of processing optical information through self-sustained ...