A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

In recent years, deep learning gained a lot of attention and made impressive achievements in various applications. Incorporating deep learning in X-ray CT has become a non-reversible trend. In this ...

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

Researchers from the High Energy Nuclear Physics Laboratory at the RIKEN Pioneering Research Institute (PRI) in Japan and ...

image of Winners of the 2024 Nobel Prize in Physics, John J. Hopfield (left) and Geoffrey E. Hinton. Winners of the 2024 Nobel Prize in Physics, John J. Hopfield (left) and Geoffrey E. Hinton. Credit: ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

“Multiple lines of evidence strongly support the finding that anthropogenic greenhouse gases have become the dominant driver of global climate warming observed since the mid-twentieth century,” ...

Google's AI subsidiary DeepMind is planning to unravel the capability between human and artificial intelligence regarding cognition. The team created a special AI that can learn intuitive physics like ...

Normally, when testing the behavior of materials under high heat or explosive conditions, researchers have to run simulation after simulation, a data-intensive process that can take days even on a ...