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

New research shows that the human brain automatically recognizes what actions an environment affords—like walking, climbing, ...

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

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

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

Chollet’s well known benchmark for AGI known as ARC-AGI—which measures progress toward general intelligence—tests AI systems on spatial-reasoning tasks and is used by OpenAI, Google, Anthropic, and ...

Colored scanning electron micrograph of a fruit fly on a banana. Fruit flies rely on their sense of smell to find food. Two ...

QUT robotics researchers have developed a new robot navigation system that mimics the neural processes of the human brain and ...

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

Machine learning (ML) and artificial intelligence (AI) can help experts speed up the diagnosis and develop new treatments for Parkinson’s Disease. “By transforming our understanding of the brain and ...