Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

For decades, scientists have searched for a safe way to reach deep parts of the human brain without cutting into the skull.

AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on large datasets. Therefore, they produce strong accuracy. However, their ...

Google Discover is largely a mystery to publishers and the search marketing community even though Google has published ...

Science fiction promised us humanoids. Do we even want them?

Scientists still don’t know how the brain turns physical activity into thoughts, feelings, and awareness—but a powerful new tool may help crack the mystery. Researchers at MIT are exploring ...

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

A research team led by Professor Junsuk Rho at POSTECH (Pohang University of Science and Technology) has developed a secure ...

Hooker says she wants to "eliminate prompt engineering" with AI models that intuitively adapt to varying tasks ...