Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

(NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that they are actively exploring a shallow hybrid quantum-classical ...

In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...

IBM released all the Granite 4 Nano models under the open-source Apache 2.0 license, which is highly permissive. The license ...

Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...

Learning to code doesn’t require new brain systems—it builds on the ones we already use for logic and reasoning.

Neural networks are algorithmic systems created based on the principle of the human nervous system. They consist of many ...

Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered questions in ...

To make accurate predictions and reliably complete desired tasks, most artificial intelligence (AI) systems need to rapidly ...

Using spatial transcriptomics and AI, researchers redefined the mouse brain’s geography, uncovering hundreds of new ...