Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a new deep learning method that improves the classification accuracy of mixed ...

Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

For decades, neuroscientists have been trying to pinpoint the neural underpinnings of behavior and decision-making. Past ...

Expectation optimizes perception through center-surround inhibition, enhancing expected representations while suppressing similar, irrelevant ones.

Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers.