Uncommon Courses is an occasional series from The Conversation U.S. highlighting unconventional approaches to teaching.

Researchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs) that ...

Kanter. "In artificial neural networks, each object needs its own output unit to be recognized, whereas the brain can use one neuronal output, where its activity as a function of time differentiates ...

The latest generative AI models such as OpenAI's ChatGPT-4 and Google's Gemini 2.5 require not only high memory bandwidth but also large memory capacity. This is why generative AI cloud operating ...

Estimating the density log is essential in analyzing reservoir characterization of oil and gas exploration. Density and Sonic logs assist in generating the acoustic impedance logs that further help in ...

A collaborative study led by Professor Vittoria Raffa at the University of Pisa and Assistant Professor Fabian Raudzus ...

The brain doesn't merely register time—it structures it, according to new research from the Kavli Institute for Systems ...

The language capabilities of today's artificial intelligence systems are astonishing. We can now engage in natural ...

Knowledge graph embedding (KGE) is an efficient method to predict missing links in knowledge graphs. Most KGE models based on convolutional neural networks have been designed for improving the ability ...