A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

By studying brain scans this AI model was able to differentiate between types of strokes with high accuracy.

This is because modern robotic vision, including visual place recognition, typically relies on power-hungry machine learning ...

When faced with a tricky maze task involving hidden information, humans instinctively toggle between two clever mental ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

A new machine learning model shows that star-shaped brain cells may be responsible for the brain's memory capacity, and ...

The human brain is very good at solving complicated problems. One reason for that is that humans can break problems apart ...

ZeroNorth is a digital business that has been on a rapid growth curve since it was spun out of Maersk Tankers five years ago ...

New AXIOM model captures mainstream headlines and industry acclaimVANCOUVER, British Columbia, June 12, 2025 (GLOBE NEWSWIRE) ...

A new study reveals how humans use flexible problem-solving strategies like hierarchical and counterfactual reasoning when ...

In our new study, we turned to the human brain to help us create a new ... The system uses a machine learning method known as spiking neural networks. These process information like human brains ...

Saxena’s lab is focused on research at the intersection of neuroscience and artificial intelligence (AI). One emphasis of her ...