Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to ...

Two RIKEN researchers have used a scheme for simplifying data to mimic how the brain of a fruit fly reduces the complexity of ...

Scientists have uncovered how close we can get to perfect optical precision using AI, despite the physical limitations imposed by light itself. By combining physics theory with neural networks trained ...

By enabling deep learning to run at the speed of light, this chip could allow edge devices to perform real-time data analysis ...

Imagine supercomputers that think with light instead of electricity. That s the breakthrough two European research teams have ...

Researchers in Australia have developed a simplified residual network-based architecture method to filter out noise from electroluminescence images of PV modules. The proposed technique reportedly ...

Progress in computer technology often starts with the gaming world, and innovative gaming experiences are largely driven by ...

AI-driven text-to-image generation models have shaken up digital art and content creation, enabling any user, regardless of ...

A key application often envisioned for neuromorphic technology is to implement similarly brain-inspired neural networks, the ...

An organic synapse array enables night vision and pattern recognition in insect robots by detecting near-infrared light and ...

Neuromorphic computing, inspired by the human brain, offers a path to faster and more efficient AI. In a pioneering ...