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 ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

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

Naqi’s planned acquisition of Wisear accelerates Naqi’s efforts towards commercialization and to establish a global standard for non-invasive neural interfaces. This acquisition marks a defining ...

Neural networks are a powerful tool for modeling neural activity in the brain. In this talk, I will discuss how these models have helped in my own research and highlight recent work building neural ...

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 ...

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 ...