Artificial intelligence (AI) is rapidly reshaping the landscape of leukemia diagnosis, offering new possibilities for earlier detection, more precise classification, and improved patient care, ...

Abby Stylianou built an app that asks its users to upload photos of hotel rooms they stay in when they travel. It may seem ...

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

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

Photons are fast, stable, and easy to manipulate on chips, making photonic systems a promising platform for QCNNs. However, ...

A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures.

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

Princeton researchers found that the brain excels at learning because it reuses modular “cognitive blocks” across many tasks.

PageRank interpreted hyperlinks as endorsements, prioritizing pages linked by many others and weighting endorsements from ...

The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) ...

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...