The field of AI is notoriously filled with jargon. To better understand what is going on, here is a series of explainers, ...

Coral reefs are some of the world's most diverse ecosystems. Despite making up less than 1% of the world's oceans, one ...

The ability to predict outcomes and trends can mean the difference between thriving and merely surviving. Enter artificial ...

Australian startup Cortical Labs has launched what it's calling the "world’s first code deployable biological computer." The ...

Binary neutron star mergers occur millions of light-years away from Earth. Interpreting the gravitational waves they produce presents a major challenge for traditional data-analysis methods. These ...

Nikita Belyakov and Svetlana Illarionova, researchers from the Skoltech AI Center, presented a new method for semantic ...

[Ramin Hasani] and colleague [Mathias Lechner] have been working with a new type of Artificial Neural Network called Liquid Neural Networks, and presented some of the exciting results at a recent ...

FPGAs and ASICs typically used to run neural networks. It is a "data center on a chip," he said, with big implications for putting AI in "edge computing" such as automobiles. Masters showed off ...

The Princeton researchers showed that big neural networks can be reduced by filtering out irrelevant information, so that we can better understand how smaller networks work. According to Langdon ...

“The cool thing about our new work is that we showed how you can translate all those things that you can do with a circuit onto a big network,” Langdon said. “When you build a small neural ...

Artificial neural networks are inspired by the early models of sensory processing by the brain. An artificial neural network can be created by simulating a network of model neurons in a computer.