Queen Mary University of London is leading NEED2D, an EPSRC-funded project developing 2D semiconductors to reduce the electricity demand from AI data centres and high-performance computing. The 2D ...

In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...

Biomass, a flagship satellite developed in the UK for the European Space Agency, is set to become the first in the world to measure, in 3D, the condition of the Earth ... 15 metres to capture the ...

Here, you can design gardens, rooms, and homes in 2D and 3D, and under review, it worked brilliantly. Admittedly, the interface felt a little outdated, but underneath, we found a surprisingly ...

This will enable companies to implement the entire process from data integration to visualization in under a few minutes while reducing considerable cost and resource burdens. primeNumber and Fyipen ...

In this paper, we propose a method based on semi-supervised multi-task 2D V-Net combined with transfer learning to simultaneously conduct Q estimation and Ac for seismic data. The semi-supervised ...

Data Manager App is a Flutter-based project that demonstrates efficient local data management with a clean and modern UI. It features CRUD operations powered by SQLite, making it an excellent tool for ...

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Handwritten digit recognition on the MNIST dataset using deep learning techniques, achieving up to 99% accuracy with Dense Networks, CNNs, Data Augmentation, Dropout, and Autoencoders. A convolutional ...