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

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

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 ...

This line of reasoning extends to artificial intelligence. If current generative models lack creativity, it could be due to ...

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

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 ...

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

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 ...