Other neural nets haven’t progressed beyond simple addition and multiplication, but this one calculates integrals and solves differential equations.

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

If you said "seven," you're right. And you're also better at math than state-of-the-art deep learning neural networks. AI researchers from Google's DeepMind this week published research in which ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data ...

Neural network training is time consuming and expensive. In particular, the need for large training sets with pre-labeled data is especially problematic for applications wuch as autonomous vehicles, ...

The strength of certain neural connections can predict how well someone can learn math, and mildly electrically stimulating ...

The starting point of a FlexOlmo project is a so-called anchor AI model. Every organization that participates in the project ...

Brigham Young University graduate Jane Housley's research could help make a widely used wildfire modeling tool faster and more accurate when needed most.

Curious about this strange new breed of AI called an artificial neural network? We've got all the info you need right here.

Understanding Neural Network Regression A neural network is essentially a complex math function. The neural network input-output mechanism is illustrated in Figure 2. The figure shows a simple neural ...