Algorithms are part of our everyday life. For example, when you Google a question, it is an algorithm that brings up the most popular sites. Using a proprietary computation, Google ranks the websites ...

Researchers have developed a new method for designing large-scale metasurfaces that uses techniques of machine intelligence to generate designs automatically. The method will enable new metasurface ...

The model of democracy in the 1920s is sometimes called “the melting pot” —the dissolution of different cultures into an American soup. An update for the 2020s might be “open source,” where cultural ...

Designing a complex electronic device like a delivery drone involves juggling many choices, such as selecting motors and batteries that minimize cost while maximizing the payload the drone can carry ...

As society attempts to solve more and more problems computationally, the need for efficient algorithms to solve these problems continues to grow. Just as importantly, to be able to apply or adapt ...

Technology is continuously advancing and exponentially increasing the amount of data produced. Data comes from a multitude of sources and formats, requiring systems to process different algorithms.

Designing AI/ML inferencing chips is emerging as a huge challenge due to the variety of applications and the highly specific power and performance needs for each of them. Put simply, one size does not ...

The model of democracy in the 1920s is sometimes called “the melting pot” – the dissolution of different cultures into an American soup. An update for the 2020s might be “open source,” where cultural ...

This advancement in quantum algorithms could help accelerate some of the most computationally intensive simulations ...