A new study from arXiv (2607.19382v1) finds that explainability methods such as attention rollout and Grad-CAM can reveal how continual learning models adapt to non-stationary time series, but also ex…
Explainable AI (XAI) is essential for deploying machine learning in high-stakes domains like healthcare, finance, and autonomous vehicles, where opaque models can lead to liability, non-compliance, or…
Nansense, a new interactive PyTorch debugger, allows developers to pause training, step batch-by-batch, and time-travel to different epochs while visualizing activations, gradients, weights, and optim…
AI is being deployed in production healthcare systems to read radiology scans, flag high-risk patients, and automate administrative tasks. Convolutional neural networks match radiologist performance o…