29 July 2025 Could machine learning help to build a unified theory of cognition? Two distinct computational approaches provide opportunities for bringing together different theories of cognition.

AI recognizes complex patterns The researchers’ FLAME model uses machine learning to uncover hidden insights in data and ultimately improve predictions. Below is an example of how the model can ...

The rise of generative AI has made one thing clear: text no longer needs to remain static. With its latest release, Speechify ...

After training a machine learning model on the patients’ functional brain images and clinical assessments, the researchers found that the model was able to predict an individual’s PTSD symptom ...

Using artificial intelligence, researchers have come up with a new way to design nanoparticles that can more efficiently ...

Researchers at Korea University have developed a machine learning model for predicting sheet resistance in phosphorus oxychloride (POCl3) doping processes in solar cell manufacturing.

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing.

The Federal Circuit reaffirmed that iteratively training a machine learning model on data does not transform an abstract idea into a patent-eligible invention.