Images generated by artificial intelligence (AI) are often almost indistinguishable from real images to the human eye.

Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

The head of the Ikea-owned gig work platform on AI automation, the state of the gig economy, and the future of labor.

Patio season means spending as much time as possible outside, but a private outdoor oasis that's tucked away from passersby can feel like a real estate unicorn, especially if you live in a big ...

This image from the Vera C. Rubin Observatory shows the Virgo galaxy cluster in direction of the constellation Virgo. It covers an area about 70 times larger than the full moon. It is made from over ...

It follows a previous report showing that the Werner syndrome protein WRN and its interacting protein WRNIP1 are indispensable for translesion DNA synthesis (TLS) by Y-family DNA polymerases (Pols).

With higher efficiency and lower costs, perovskite–silicon tandem cells mark a breakthrough in solar tech. Can they truly ...

How Iran’s military can wreak cold, bloody revenge on Israel Netanyahu will defend the attack on Tehran as an ‘existential’ defensive measure but we will all pay the price, says world ...

Atuilik, D. (2025) Managing Government Interventions to Reduce Income Inequality and Poverty in Ghana. Theoretical Economics ...

What is the basic pattern for multicloud architecture? Multicloud architecture patterns are split between distributed and redundant deployments. Distributed deployment patterns ...

In this paper, we propose a novel pattern-recognition system to identify and classify buried objects from ground-penetrating radar (GPR) imagery. The entire process is subdivided into four steps.

High-resolution (HR) synthetic aperture radar (SAR) image classification is a challenging task for the limitation of its complex semantic scenes and coherent speckles. Convolutional neural networks ...