The brains of humans and other primates are known to execute various sophisticated functions, one of which is the representation of the space immediately surrounding the body. This area, also ...

The application of artificial neural networks within textile engineering has emerged as a transformative force, harnessing advanced computational techniques to predict and refine the complex ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine some exciting research that could ...

New insight into decision-making pathways in the brain may impact the way engineers think about artificial intelligence, ...

Most contemporary artificial intelligence (AI) systems learn to complete tasks via machine learning and deep learning. Machine learning is a computational approach that allows models to uncover ...

Credit: Mark Hersam/Northwestern University Printed artificial neurons can now send lifelike signals that activate real brain ...

Artificial intelligence that cannot explain how it makes decisions—often called "black box" AI—could soon be replaced by more ...

In 1943, a pair of neuroscientists were trying to describe how the human nervous system works when they accidentally laid the foundation for artificial intelligence. In their mathematical framework ...

Researchers from KAIST and UC Berkeley have developed a neural network-based method to correct optical distortions in deep tissue microscopy without additional hardware. The system uses Neural Fields ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations — it’s a triumph of your associative memory, in which one piece of information (the first few ...