Photo of a mechanical neural network (MNN). Currently, the system is about the size of a microwave oven, but the researchers plan to simplify the MNN design so that thousands of the networks can be ...

Neural network optimisation has emerged as a transformative approach in microwave engineering, driving enhancements in both the accuracy and speed of electromagnetic (EM) simulations and circuit ...

Cornell engineers have built the first fully integrated “microwave brain” — a silicon microchip that can process ultrafast data and wireless signals at the same time, while using less than 200 ...

Cornell University researchers have developed a low-power microchip they call a "microwave brain," the first processor to compute on both ultrafast data signals and wireless communication signals by ...

* Cornell's microwave chip computes real-time wireless and ultrafast data streams using less than 200 milliwatts * The// chip's neural network design allows it to learn, adapt, and perform complex ...

Forward-looking: Traditional computer chips perform tasks by sending digital signals at regular clock speeds, but new experimental hardware uses microwaves for specialized workloads. The resulting ...

(Nanowerk News) Just like a pianist who learns to play their instrument without looking at the keys or a basketball player who puts in countless hours to throw a seemingly effortless jump shot, UCLA ...

UCLA engineers have designed a material that can adapt to changing conditions. The material consists of tunable beams that can dynamically adjust its behavior to suit changes in its environment, ...