A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been developed by a RIKEN neuroscientist and his collaborator. In addition to shedding ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...

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

An MIT spinoff co-founded by robotics luminary Daniela Rus aims to build general-purpose AI systems powered by a relatively new type of AI model called a liquid neural network. The spinoff, aptly ...

Ben Khalesi covers the intersection of artificial intelligence and everyday tech at Android Police. With a background in AI and data science, he enjoys making technical topics approachable for those ...

For more than a decade, Alexander Huth from the University of Texas at Austin had been striving to build a language decoder—a tool that could extract a person’s thoughts noninvasively from brain ...

Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially ...