Daniela Rus has some experience with a ground-breaking new idea, Liquid Neural Networks, that seems to solve some of AI's notorious complexity problems, in part, by using fewer yet more powerful ...

Artificial intelligence might now be solving advanced math, performing complex reasoning, and even using personal computers, but today’s algorithms could still learn a thing or two from microscopic ...

MRI image of the brain with the lateral ventricles colored in blue. The ventricles are filled with cerebrospinal fluid. Researchers led by Masako Tamaki at the RIKEN Center for Brain Science in Japan ...

Australian startup Cortical Labs has launched what it's calling the "world’s first code deployable biological computer." The shoe box-sized device, dubbed CL1, is a notable departure from a ...

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 ...

When a person goes into deep sleep, waterlike fluid circulates around the brain, washing away metabolic waste that is linked to diseases such as Alzheimer's. This process, known as the glymphatic ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...