Researchers at Tohoku University used microfluidic devices to create directional connections in lab-grown neuronal networks, ...
Introducing Annotatability—a powerful new framework to address a major challenge in biological research by examining how ...
When trying to solve problems, artificial intelligence often uses neural networks to process data and make decisions in a way ...
Uncovering the relationship between structure (connectivity) and function (neuronal activity) is a fundamental question ...
One of the lesser-realized but very important elements of artificial intelligence is real-time adaptation and decision-making ...
Geoffrey Hinton is known for his work developing artificial neural networks, the foundation for AI, and won the 2024 Nobel ...
As neuro-AI research advances, it holds the potential to revolutionize our understanding of intelligence by seamlessly ...
There will never be another year like 2024 again for artificial intelligence. Throughout the year, obscure product demos ...
Human trafficking remains an insidious, often invisible epidemic. Members of the public are increasingly aware that such ...
Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...
In order to uncover the relationship between structure and function, researchers used microfluidic devices to study neuronal networks.