In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered materials that can manipulate light and other forms of electromagnetic ...

The efficacy of deep residual networks is fundamentally predicated on the identity shortcut connection. While this mechanism effectively mitigates the vanishing gradient problem, it imposes a strictly ...

PCWorld reports that Windows’ Delivery Optimization feature, designed for update sharing between computers, can unexpectedly consume significant amounts of RAM over time. Reddit user testing confirmed ...

A new review demonstrates how artificial intelligence is overcoming critical challenges in optical metasurface design, enabling advanced applications in compact optics and computational imaging by ...

Google released on Thursday a “reimagined” version of its research agent Gemini Deep Research based on its much-ballyhooed state-of-the-art foundation model, Gemini 3 Pro. This new agent isn’t just ...

Artificial intelligence speeds metasurface design from unit cells to full optical systems, enabling compact imaging, AR and VR displays and advanced LiDAR. (Nanowerk News) Optical metasurfaces, with ...

A new review article published in iOptics reveals how artificial intelligence (AI) is providing solutions for metasurface technology to transition from unit optimization to system-level integration.

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Optical metasurfaces, with their ultra-thin and lightweight properties, are driving the miniaturization and planarization of optical systems. However, their development from unit-cell design to system ...