A team of neuroscientists investigates communication pathways in the brain and predicts intelligence. A new study approach uses machine learning to improve our conceptual understanding of intelligence ...

A recent paper published in Engineering titled “Machine Memory Intelligence: Inspired by Human Memory Mechanisms” explores a novel approach to AIby drawing inspiration from the human brain’s memory ...

The universe has no brain. It has no gray matter, no nervous system, no neurons firing electrical impulses—and yet, that ...

The human brain, with its remarkable general intelligence and exceptional efficiency in power consumption, serves as a constant inspiration and aspiration for the field of artificial intelligence.

Long before brain scans and neural networks, two scientists used chemistry and ink to uncover what the brain actually looks like. In the late 1800s, Italian scientist Camillo Golgi developed a ...

At the 2025 AI-Driven Science Symposium, Tianqiao Chen, founder of the Tianqiao & Chrissy Chen Institute, first introduced the concept of "Discoverative Intelligence." The Spiking Intelligence Lab ...

Connectomics, a rapidly evolving field in neuroscience, is transforming our understanding of the brain’s intricate network of neural connections. By mapping these complex pathways, scientists aim to ...

Recent developments in neuroscience and brain-inspired artificial intelligence have opened up new possibilities in understanding intelligence. Now, a research team led by Tianzi Jiang at the Institute ...

In 1979, Betty Edwards published the book Drawing on the Right Side of the Brain, which remains the preeminent book on the subject of drawing for beginners. In the book, Edwards argues that there are ...

USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These devices emulate how neurons use chemicals to transmit and process signals, ...