Dr Ji Zhou, Project Leader, and his colleagues at EI are planning to develop and embed the latest machine-learning algorithms, including deep learning techniques in
For more than 20 years, Kx has been the powerhouse in high-speed, big data analytics in the world’s major financial centres. This expertise will now be used by EI in a completely new approach to the analytical processing of living systems. In an environment where the need to process increasing volumes of data at ever-greater speeds has been failed by the traditional query-response model, Kx will provide real-time active queries for the enormous datasets generated in life sciences.
Dr Tim Stitt, Head of Scientific Computing at EI, commented: “For EI to remain at the forefront of bioscience research it is imperative that we continue to partner with the world’s leading technology providers. I’m therefore delighted to collaborate with Kx, as we continue to explore new technologies for addressing the challenges of ever-increasing data volumes. Leveraging the high-performance data processing capabilities of
To address the challenges presented by the emergence of Big Data in
Brian Conlon,
The UK government has recently reinforced its strategy in agriculture with IoT (Internet of Things) technologies to help maximise yields, improve food traceability, and tackle environmental challenges through networked remote sensors, particularly for crop development and genetic research. This policy change, combined with EI’s long-term strategy of agri-tech and high-performance computing (HPC), demonstrates a valuable opportunity to apply the real-time analytical technology to research genotype-phenotype-environment interactions based on EI’s world-leading HPC infrastructure.
EI is strategically funded by BBSRC and operates a National Capability to promote the application of genomics and bioinformatics to advance bioscience research and innovation.