Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...

Our current approach to mental health labelling and diagnosis has brought benefits. But as a practising doctor, I am concerned that it may be doing more harm than good ...

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?

New research shows MDMA and psilocybin may restore neural flexibility in people with PTSD, thereby helping the brain unlearn ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

Abstract: Deep Neural Networks (DNNs), which play a significant role in a wide range of both civilian and military applications, are often regarded as "black-boxes" due to their opaque decision-making ...

Researchers have developed a fully real-valued, end-to-end optical neural network chip that overcomes the physical limitation ...

Abstract: Document image classification has a significant difficulty for the retrieval of digital documents and systems management in recent years. The main goal of this study is to investigate the ...