Deep learning institute articles
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Europe taps deep learning to make industrial robots safer colleagues
Demand for industrial robots is rising in Europe, especially driven by the benefits of automation. However, there are ongoing challenges in ensuring seamless collaboration with humans while maintaining safety. To address this issue, a consortium of European universities, technology accelerators, and private research labs is launching the RoboSAPIENs project. The aim is to build the necessary safety mechanisms with a particular focus on adaptive industrial robots — a category of autonomous...
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New multi-task deep learning framework integrates large-scale single-cell proteomics and transcriptomics data
The exponential progress in single-cell multi-omics technologies has led to the accumulation of large and diverse multi-omics datasets. However, the integration of single-cell proteomics and transcriptomics (or epigenomics) data poses a significant challenge to existing methods. Several transformer-based models, such as Geneformer, have significantly changed the paradigm of single-cell transcriptome analysis. However, these methods place significant demands on computational resources.
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The Coventry nursery where children learn in a 'free-flow learning environment'
Precious Moments nursery is praised by parents for going 'above and beyond' for their children