Abstract: Semi-supervised domain generalization (SSDG) has recently emerged as a potential research topic. Compared to domain generalization, SSDG represents a realistic and challenging goal, which ...

We propose a novel deep learning framework, STGCN, to tackle time series prediction problem in traffic domain. Instead of applying regular convolutional and recurrent units, we formulate the problem ...

This is a PyTorch implementation of the GraphATA algorithm, which tries to address the multi-source domain adaptation problem without accessing the labelled source graph. Unlike previous multi-source ...

The good news? This isn’t an AI limitation – it’s a design feature. AI’s flexibility to work across domains only works because it doesn’t come preloaded with assumptions about your specific situation.

International Business Machines Corporation ( IBM) Q4 2025 Earnings Call January 28, 2026 5:00 PM EST ...

Abstract: Cross-domain few-shot medical image segmentation (CD-FSMIS) offers a promising and data-efficient solution for medical applications where annotations are severely scarce and multimodal ...

DeepMind COO Lila Ibrahim discusses building powerful AI with care, ethics and a long-term focus on human impact.