On July 6 in Zaporozhzhia, a drone with no connection to its original operator determined targets on its own and delivered a ...

Functional near-infrared spectroscopy (fNIRS) measures brain activity optically based on changes in cortical blood flow.

Every neural network powering your phone's camera, the language model on your screen, and the recommendation engine choosing your next video was trained with the same four-decade-old algorithm: ...

Optical computing presents a promising avenue to meet the escalating computational demands. However, optical analog computing is susceptible to environmental perturbations, relies heavily on ...

Computing power has increased exponentially over the past few decades. We now have cameras on smartphones with incredible computational photography, voice assistants that respond near instantaneously, ...

With the rapid development of machine learning, Deep Neural Network (DNN) exhibits superior performance in solving complex problems like computer vision and natural language processing compared with ...

Emerging artificial intelligence for science (AI-for-Science) algorithms, such as the Fourier neural operator (FNO), enabled fast and efficient scientific simulation. However, extensive data transfers ...

A convolutional neural network (CNN) is a category of machine learning model. Specifically, it is a type of deep learning algorithm that is well suited to analyzing visual data. CNNs are commonly used ...