Researchers have developed a new tool to more precisely guide cancer treatment. Described in a paper published in Nature ...

At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

Overview PyTorch and JAX dominate research while TensorFlow and OneFlow excel in large-scale AI trainingHugging Face ...

As a global leader in intelligent video surveillance products and solutions, Hikvision has been continuously increasing its investment in the field of artificial intelligence in recent years.

Deep learning can both strengthen the building blocks of future networks and uncover hidden risks in widely used applications ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

The 5-day International Workshop on Deep Learning and Artificial Intelligence (DLAI9), held in collaboration with the Asia-Pacific Neural Networks Society (APNNS) and IEEE Geoscience and Remote ...

Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...