Recent advances at the intersection of neural networks and inverse scattering problems have transformed traditional approaches to imaging and material characterisation. Inverse scattering involves ...

A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...

Managing a power grid is like trying to solve an enormous puzzle. Grid operators must ensure the proper amount of power is ...

KIST has developed a technology that directly implements the brain's learning principles on a semiconductor chip, enabling ...

As the name suggests, neural networks are inspired by the brain. A neural network is designed to mimic how our brains work to ...

(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 ...

Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple ...

Rapid advances in applying artificial intelligence to simulations in physics and chemistry have some people questioning whether we will even need quantum computers at all. Tech companies have been ...