From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...

Using single-cell RNA sequencing and genetic screening, the researchers identified key surface proteins that mediate ...

How do the circuits of the human brain work—and what happens when they are disrupted? To investigate these questions, ...

That problem is why, even though we’ve had success finding enzymes that break down common plastics like polyesters and PET, they’re only partial solutions to plastic waste. However, researchers aren’t ...

This paper offers a Bayesian framework for the calibration of financial models using neural stochastic differential equations ...

Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code. Most ...

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 tiny neural network is sufficient to control the daily rhythm of the fruit fly, Drosophila melanogaster. Researchers at the ...