In the field of human action recognition, it is a long-standing challenge to characterize the video-level spatio-temporal features effectively. This is attributable in part to the inability of CNN to ...

Bayesian neural networks, which represent weights using the mean and the difference from the mean, can outperform convolutional neural networks in certain tasks, such as image recognition in noisy ...

AI’s “backbone” increasingly means energy, infrastructure, and matrix math powering massive next-generation computing systems ...

Deep learning high-content imaging is rapidly reshaping image-based screening in the modern laboratory environment. As high-content screening (HCS) generates increasingly large and complex datasets, ...