Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

A neural network image analysis method will help track the movement of microparticles in the Earth's atmosphere and space.

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

The field of computer graphics has witnessed a transformative shift in real-time rendering through the integration of neural network methodologies. Traditionally, rendering pipelines relied on ...

As artificial intelligence systems grow larger and more powerful, their energy demands are rising dramatically. But recent ...

A Multiple Output Switched Mode Power Supply (MOSMPS) with Artificial Neural Network (ANN) control for Power Quality (PQ) improvement and output voltage regulation is proposed for personal computers ...

Researchers in Sweden have developed a machine-learning approach that embeds the laws of physics directly into 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 ...

A research team from Skoltech and Saint-Petersburg State University of Aerospace Instrumentation have presented a paper in which they pioneered an alternative method for detecting decayed and moldy ...

Mohsena Ashraf is a second year PhD student at CU Boulder working with Dr. Tom Yeh at the Center for the Brain, A.I., and Child (BAIC). Her research focuses on chatbots, neuroimaging and human-AI ...