Modern computers struggle to match the efficiency of the human brain. Even recognizing handwritten digits can consume significant energy, largely ...

In an advancement for efficient and secure AI, researchers at the Technical University of Munich (TUM) have unveiled the AI Pro chip, a neuromorphic processor that functions independently of cloud ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors. Pixabay, ...

In a groundbreaking medical and technological milestone, Audrey Crews, a woman paralysed for 20 years, has become the first Neuralink patient to publicly demonstrate thought-based computer control.

Brain–machine interfaces (BMIs) represent a transformative field at the intersection of neuroscience, engineering and computer science, allowing for direct communication between the brain and external ...

Spiking neural networks (SNNs) are an implementation of neuromorphic computing, an aspect of artificial intelligence and machine learning (AI/ML). Neuromorphic computing emulates the operation of ...