The research team developed a hybrid Long Short-Term Memory (QLSTM) model capable of effectively identifying complex patterns ...

In today's machine learning field, deep neural network models are becoming increasingly large and complex, posing significant challenges to traditional electronic computing hardware. To address this ...

One of the most pressing concerns for the industrial application of artificial intelligence is how to run the programs on small computing devices that have very little processing power, very little ...

United Robotics Group announces partnership with Photon Education to engage elementary school-aged students in invaluable robotics and STEM learning skills This partnership is a natural fit and will ...

Modern imaging is contributing significantly to giving us a better understanding of how our brains work. In the long term, ...

For decades, scientists have worked to peer deeper into the brain. They have wanted to see not just surface activity in the ...

A machine learning algorithm automatically extracts information to speed up -- and extend -- the study of materials with X-ray pulse pairs. X-rays can be used like a superfast, atomic-resolution ...