Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...

Despite decades of research, the mechanisms behind fast flashes of insight that change how a person perceives their world, ...

That uncertainty surfaced in real life in 2022, when Google engineer Blake Lemoine became convinced that the company’s LaMDA ...

Researchers at the Museum für Naturkunde Berlin, together with data scientists, have developed a new method to largely ...

A new study explains the brain mechanisms behind moments when we first recognize a blurry object, a primal ability that enabled our ancestors to avoid threats.  Based on this understanding, the team ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...

Despite decades of research, the mechanisms behind fast flashes of insight that change how a person perceives their world, termed "one-shot learning ...

Best known in ag for crop spraying and field mapping, drones can also be used for pollination, yield forecasting, and livestock monitoring.

Advertisers aim to tailor ads to individual viewers to drive clicks, and while bespoke creatives for each person are currently impractical, new research suggests AI-generated imagery could soon be ...