You can specialise either in the core areas of data science -- machine learning and artificial intelligence algorithms, data engineering and ... The courses are divided into thematic modules, but ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

Subject-specific Skills: On completion of the module, students will be able to demonstrate: an ability to implement and use common data structures an ability to select, apply and analyse algorithms.

To better understand the structure-function relationship of a tissue ... Most existing methods are originally designed for spatial transcriptomics data and thus use expression of hundreds or thousands ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

AI has revolutionized search engine understanding of cybersecurity content. Industry leaders dominate rankings with expertise ...

The gender data gap and its default male origins have been disadvantaging women for millennia, but in a world where we increasingly outsource our decision-making to algorithms trained on data with ...

One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

Designing a high-performance tree index, a key pillar of datacenter systems, on disaggregated memory.