New review in iOptics demonstrates how AI is overcoming key challenges in metasurface design, enabling advanced applications in compact optics and computational imaging.

As state and local governments rely more on information technology to deliver better services and improve efficiency, they have turned increasingly to systems integrators to design and deploy their ...

Bayesian methods have emerged as a robust framework for assessing system reliability in environments marked by uncertainty and limited data availability. By incorporating prior knowledge and updating ...

Today’s semiconductor designs support a broad range of applications, from mobile and edge devices to AI accelerators and data center systems. To keep pace, design teams are shifting from monolithic ...

The system integration challenge is evolving, but existing tools and methods are not keeping up with the task. New tools and flows are needed to handle global concepts, such as power and thermal, that ...

In today’s hyperconnected world, the average enterprise juggles more than a 1,000 applications—a number projected to increase dramatically as innovation accelerates. Research firm IDC estimates that 1 ...

The energy industry is undergoing a major transformation. The push for transition, the rise of advanced technologies and the need for operational efficiency are reshaping the sector. At this ...

Artificial intelligence speeds metasurface design from unit cells to full optical systems, enabling compact imaging, AR and ...