Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

As artificial intelligence takes off, how do we efficiently integrate it into our lives and our work? Bridging the gap ...

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

Existing algorithms based on graph convolutional network( GCN) can mitigate this issue; however, using an energy-based graph construction method may result in poor sensing performance under low signal ...

In this article, we propose a noise adaptive quantum circuit mapping approach using reinforcement learning (RL) and graph neural network (GNN)-based reliability predictor. Our RL agent learns a ...

Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...