Context-Enriched Natural Language Descriptions of Vessel Trajectories
arXiv:2603.12287v1 Announce Type: new Abstract: We address the problem of transforming raw vessel trajectory data collected from AIS into structured…
Proof-Carrying Materials: Falsifiable Safety Certificates for Machine-Learned Interatomic Potentials
arXiv:2603.12183v2 Announce Type: replace-cross Abstract: Machine-learned interatomic potentials (MLIPs) are deployed for high-throughput materials screening without formal reliability guarantees. We…
Team RAS in 10th ABAW Competition: Multimodal Valence and Arousal Estimation Approach
arXiv:2603.13056v1 Announce Type: cross Abstract: Continuous emotion recognition in terms of valence and arousal under in-the-wild (ITW) conditions remains a…
Are General-Purpose Vision Models All We Need for 2D Medical Image Segmentation? A Cross-Dataset Empirical Study
arXiv:2603.13044v1 Announce Type: cross Abstract: Medical image segmentation (MIS) is a fundamental component of computer-assisted diagnosis and clinical decision support…
HomeSafe-Bench: Evaluating Vision-Language Models on Unsafe Action Detection for Embodied Agents in Household Scenarios
arXiv:2603.11975v2 Announce Type: replace-cross Abstract: The rapid evolution of embodied agents has accelerated the deployment of household robots in real-world…
A robot operating system framework for using large language models in embodied AI
Nature Machine Intelligence, Published online: 16 March 2026; doi:10.1038/s42256-026-01186-z Mower, Wan et al. introduce ROS-LLM, an open-source system that lets…
Predicting and interpreting cell-type-specific drug responses in the small-data regime using inductive priors
Nature Machine Intelligence, Published online: 16 March 2026; doi:10.1038/s42256-026-01202-2 Alsulami et al. present PrePR-CT, a computational approach that predicts how…
The case for stakeholder-driven AI auditing in automatic speech recognition
Nature Machine Intelligence, Published online: 16 March 2026; doi:10.1038/s42256-026-01207-x The case for stakeholder-driven AI auditing in automatic speech recognition