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| http://dx.doi.org/10.3325/cmj.2024.65.1 | DOI Listing |
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Supporting vision-language model few-shot inference with confounder-pruned knowledge prompt.
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National Key Laboratory of Space Integrated Information System, Institute of Software Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China.
Vision-language models are pre-trained by aligning image-text pairs in a common space to deal with open-set visual concepts. Recent works adopt fixed or learnable prompts, i.e.
View Article and Find Full Text PDFMulti-Modal Social Robot Behavioural Alignment and Learning Outcomes in Mediated Child-Robot Interactions.
Biomimetics (Basel)
January 2025
School of Engineering and Physical Sciences, Lincoln Centre for Autonomous Systems, College of Health and Science, University of Lincoln, Lincoln LN6 7TS, UK.
With the increasing application of robots in human-centred environments, there is increasing motivation for incorporating some degree of human-like social competences. Fields such as psychology and cognitive science not only provide guidance on the types of behaviour that could and should be exhibited by the robots, they may also indicate the manner in which these behaviours can be achieved. The domain of social child-robot interaction (sCRI) provides a number of challenges and opportunities in this regard; the application to an educational context allows child-learning outcomes to be characterised as a result of robot social behaviours.
View Article and Find Full Text PDFSpatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity.
Brief Bioinform
November 2024
Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Spatially resolved transcriptomics (SRT) technologies facilitate the exploration of cell fates or states within tissue microenvironments. Despite these advances, the field has not adequately addressed the regulatory heterogeneity influenced by microenvironmental factors. Here, we propose a novel Spatially Aligned Graph Transfer Learning (SpaGTL), pretrained on a large-scale multi-modal SRT data of about 100 million cells/spots to enable inference of context-specific spatial gene regulatory networks across multiple scales in data-limited settings.
View Article and Find Full Text PDFA review of large language models and autonomous agents in chemistry.
Chem Sci
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FutureHouse Inc. San Francisco CA USA
Large language models (LLMs) have emerged as powerful tools in chemistry, significantly impacting molecule design, property prediction, and synthesis optimization. This review highlights LLM capabilities in these domains and their potential to accelerate scientific discovery through automation. We also review LLM-based autonomous agents: LLMs with a broader set of tools to interact with their surrounding environment.
View Article and Find Full Text PDFA novel workflow for multi-modal imaging of musculoskeletal tissues.
J Anat
January 2025
Department of Anatomy and Regenerative Medicine, Tissue Engineering Research Group (TERG) Royal College of Surgeons Ireland (RCSI) University of Medicine and Health Sciences, Dublin, Ireland.
According to the World Health Organization (WHO) musculoskeletal conditions are a leading contributor to disability worldwide. This fact is often somewhat overlooked, since musculoskeletal conditions are less likely to be associated with mortality. Nonetheless, treatments, therapies and management of these conditions are extremely costly to national healthcare systems.
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