Professor Garry Duffy appointed Head of Department of Anatomy and Regenerative Medicine at RCSI
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Updates every hour. Last Updated: 17-Aug-2025 01:11 ET (17-Aug-2025 05:11 GMT/UTC)
This study explores a weakly supervised bird counting method based on multimodal perception model that fuses optical image features and visual semantic cues. The method addresses challenges such as small target detection, complex backgrounds, and scale changes in ecological monitoring of optical remote sensing images without relying on detailed location annotations.
The European Union’s industrial strategy, centred on Single Market Resilience, Strategic Autonomy, and Competitive Sustainability, is riddled with contradictions that risk exacerbating the very crises it seeks to address. According to a recent study by the Institute for Environmental Science and Technology of the Universitat Autònoma de Barcelona (ICTA-UAB), the EU’s current industrial policy will not achieve its own objectives unless it is fundamentally rethought.
Researchers comprehensively summarize existing multi-modal fusion technologies, detailing their technical specifics and applications in several key fields. Through in-depth analysis, the study highlights current technical bottlenecks and offers guiding recommendations for the future development of multi-modal research.
Self-driving cars will soon be able to “think” like human drivers under complex traffic environments, thanks to a groundbreaking cognitive encoding framework built by a multidisciplinary research team from the School of Engineering at the Hong Kong University of Science and Technology (HKUST). This innovation significantly enhances the safety of autonomous vehicles (AVs), reducing overall traffic risk by 26.3% and cutting potential harm to high-risk road users such as pedestrians and cyclists by an impressive 51.7%. Even the AVs themselves benefited, with their risk levels lowered by 8.3%, paving the way for a new framework to advance the automation of vehicle safety.