Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human ...

A new machine learning model, TweetyBERT, automatically segments and classifies canary vocalizations with expert-level accuracy, offering a scalable platform for neuroscience, providing insights into ...

Explore how core mathematical concepts like linear algebra, probability, and optimization drive AI, revealing its ...

Scientists have developed a new AI algorithm that can separate brain patterns related to a particular behavior. This work promises to improve brain-computer interfaces and aid with the discovery of ...

New research from Rensselaer Polytechnic Institute (RPI) could help shape the future of artificial intelligence by making AI systems less resource-intensive, higher performing, and designed to emulate ...

Researchers develop TweetyBERT, an AI model that automatically decodes canary songs to help neuroscientists understand the neural basis of speech.

Artificial intelligence can speed up and simplify time-consuming tasks through its ability to quickly spot patterns in data. By adding rule-based reasoning to the mix, neurosymbolic AI ups the ...

Increasingly, AI models are able make short-term weather forecasts with surprising accuracy. But neural networks only predict based on patterns from the past—what happens when the weather does ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.