Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Nature Machine Intelligence publishes high-quality original research and reviews in a wide range of topics in machine learning, robotics and AI. We also explore and discuss the significant impact that ...