Nvidia’s latest pitch for the future of graphics is not about more polygons or higher memory bandwidth, it is about teaching ...

In the Neural Engineering Center, part of our work focuses on neural and brain machine interfaces. One of the key elements of the ability to analyze neural systems and to enhance or replace neuronal ...

Extreme Learning Machines (ELMs) represent a class of feedforward neural networks distinguished by their rapid learning speed and analytical determination of output weights. Unlike conventional neural ...

You know that expression When you have a hammer, everything looks like a nail? Well, in machine learning, it seems like we really have discovered a magical hammer for which everything is, in fact, a ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

When Google Translate was released, in 2006, I was an eighth grader stumbling through introductory Spanish, and my teacher had little reason to worry about her students using it to cheat. It’s almost ...

In the machine learning world, the sizes of artificial neural networks — and their outsize successes — are creating conceptual conundrums. When a network named AlexNet won an annual image recognition ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...