For players it could turn games into living worlds, but many developers believe machine learning is no match for ...

A new machine learning approach has enabled researchers to understand the role of neural cells including astrocytes in ...

In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

Genetic algorithms can automate data preparation, feature selection, and hyperparameter tuning in machine learning. Learn to ...

IonQ (NYSE: IONQ), a leading commercial quantum computing and networking company, today announced new research advancements ...

As of 2025, the development of Large Language Model has reached new heights, with several companies leading the charge in ...

Object recognition software is used by law enforcement to help identify suspects, by self-driving cars to navigate roadways and by many consumers to unlock their cell phones or pay for their morning ...

Researchers at the University of Houston and the University of Cincinnati are using machine learning to create a clearer ...

Increasingly stricter regulations on emissions from lean-burn engines, such as the Euro 7 standard, are approaching. This ...

The study establishes that advances in both sensor platforms and AI models have been instrumental in elevating crop type ...

Here is a look at root cause analysis (RCA) challenges in firmware development and their AI-powered solutions.

Artificial intelligence algorithms have now been combined with traditional laboratory methods to uncover promising drug leads against human enterovirus 71 (EV71), the pathogen behind most cases of ...