A new study suggests that the brain processes information with high efficiency by synchronizing the physical wiring of neural ...

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

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

In our increasingly electrified world, supercapacitors have emerged as critical components in transportation and renewable energy systems, prized for their remarkable power density, cycling stability, ...

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

The original version of this story appeared in Quanta Magazine. Here’s a test for infants: Show them a glass of water on a desk. Hide it behind a wooden board. Now move the board toward the glass. If ...

The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...

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

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