Caltech scientists have developed a way to guide light on silicon wafers with low signal loss approaching that of optical ...

Abstract: Advancements in materials, improved modeling, and optimized design of power magnetic components are imperative to push the efficiency and power density bounds of power electronic converters.

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most common types — including ReLU, Sigmoid, Tanh, and more! #NeuralNetworks ...

The increasing demand for sustainable materials has highlighted the importance of biocomposites; however, their computational analysis is challenging due to the high cost associated with traditional ...

You’ll often hear plastic pollution referred to as a problem. But the reality is that it’s multiple problems. Depending on the properties we need, we form plastics out of different polymers, each of ...

Under the background of the new distribution network, the power fluctuation on the line is increasing, which leads to more uncertainties in the predicted line loss rate, thus affecting the economic ...

When you write your name in the air, you can see the letters appear on your smartphone. By Cade Metz Reporting from San Francisco The prototype looks like a giant rectangular wristwatch. But it ...

Brain-computer interface (BCI) technology is opening an unprecedented chapter in human-machine integration by establishing direct communication between the brain and external devices. Once a science ...

Abstract: Ultra-reliable low latency communication (URLLC) systems are pivotal for applications demanding high reliability and low latency, such as autonomous vehicles. In such contexts, channel ...