A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

Chinese researchers tested whether monitoring passengers' brain activity could help self-driving systems make safer decisions ...

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

Chinese researchers have developed a system that uses passengers' brain signals to improve autonomous vehicle safety in risky ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work.

In recent years, several serious traffic accidents have exposed the shortcomings of current autonomous driving systems in making safe decisions ...

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

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Breakthroughs in scientific research are not always made in experienced laboratories and research teams. Occasionally, they ...

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