I will briefly discuss the history of how scientific focus areas are coordinated through the use of the national development plan, aligned scientific white papers, and the decadal plans that are built from the resulting insight. I will also discuss the current academic landscape of quantum computing in South Africa.
I will discuss the CSIR and how the clusters within the organisation align...
Recent advancements in the interdisciplinary realms of machine learning (ML) and quantum computing (QC) have paved the way for innovative approaches in biophotonics, an established field that utilizes light-based technologies to probe biological substances. Quantum machine learning (QML), an emerging frontier, amalgamates quantum computing's superior processing capabilities with machine...
Exascale computing is coming and given the large anticipated power consumption it is prudent to first ensure both the users and the software are exascale ready before investing in the hardware. The [Excalibur][1] Project is UK's response to this challenge, which funds a range of hardware and software projects and train the next generation of Research Software Engineers. One of these funded...
Cosmology, the understanding of the evolution of entire Universe, has progressed very fast in the past several decades with the advances of modern telescopes. I will give a brief overview of the modern cosmology of the last century and highlight its phenomenal successes and distinctive challenges. I will then explain how and why the use of Machine Learning technique can help unravel these...
The Deep Learning Indaba was founded in 2017 as a community for growing Artificial Intelligence capability and knowledge sharing across Africa. To extend the impact of the community, "Deep Learning Indaba𝕏" events have been launched in multiple participating nations. A Deep Learning Indaba𝕏, or "Indaba𝕏," represents a locally-organised conference aimed at democratizing machine learning...
The Deep Learning Indaba, founded in 2017, serves as a community dedicated to fostering Artificial Intelligence capabilities and promoting knowledge sharing across Africa. As part of this endeavor, Deep Learning Indaba𝕏 events have been established in several participating countries. A Deep Learning Indaba𝕏 represents a locally-organized "Indaba" or conference aimed at ensuring the widespread...
Large-scale training of Deep Learning Models (DL) in High Performance Computing(HPC) systems has become increasingly common to achieve faster training time for larger models and datasets by alleviating memory constraints. Training DL models in these systems cuts weeks or even months of training to mere hours and facilitates faster prototyping and research in DL. Importantly, training some of...
Terrestrial model (TerM) is the land surface scheme developed jointly at the Institute of Numerical Mathematics RAS and Moscow State University. It has been originally a part of INM-CM Easth system model and SL-AV weather forecasting system, and is responsible for providing fluxes of radiation, heat, moisture and greenhouse gases to the atmosphere from the land surface. TerM uses multilayer...
This study presents the development of a three-dimensional unstructured adaptive finite-element model (Fluidity-Atmosphere) for atmospheric research. To improve the computational efficiency, a LSTM-based three-dimensional unstructured mesh generator is proposed to predict the evolution of the adaptive mesh. To evaluate the performance of adaptive meshes and physical parameterisations in...
We discuss the development of the unified framework for the numerical simulation of the atmospheric boundary layer turbulence. The model developed at the Lomonosov Moscow State University combines DNS (Direct Numerical Simulation), LES (Large-Eddy Simulation) and RANS (Reynolds-Averaged Navier-Stokes) approaches for turbulence modelling and allows high-resolution simulations on HPC systems by...
Performance tools are inseparable from complex HPC applications’ performance analysis and engineering life cycles. Due to the application’s complexity, various performance analysis tools are created to serve different analysis purposes and provide a deeper look at certain aspects of the applications. Although these tools might operate differently, having coherent information and consistent...
Deep learning has been shown as a successful method for various tasks, and its popularity results in numerous open-source deep learning software tools. Deep learning has been applied to a broad spectrum of scientific domains such as cosmology, particle physics, computer vision, fusion, and astrophysics. Scientists have performed a great deal of work to optimize the computational performance of...
Provide attendees with a detailed view of the Long-Term Digital Archive solution implemented at CSIR.
This solution enables CSIR to provide a high performance, highly scalable, integrated archive ecosystem that allows internal departments and external organisations to collaborate, archive and preserve data driven research in support of National Science and Strategic priorities.
The...
To adopt a universal digital leadership paradigm for Africa would mean having to ignore previous research that indicates the link between the African cultural context and its influence on shaping decisions and behavioural patterns within organisations. Similarly, to ignore the emerging digital leadership paradigm entirely would deprive Africa of a wide variety of leadership management theories...
Abstract— Culture influences how agile frameworks are implemented, and agility is said to be suitable in contexts where flexibility and spontaneity are emphasized. While past studies have investigated the influence of national culture on Agile implementations in Western and Eastern contexts, studies focusing on a South African software development context is limited. Furthermore, few studies...
Comprehensive view into Dell’s AI strategy, Why Dell for AI, and our individual products, solutions, partnerships, and services for multiple use cases in any location.
Dawn has been created via a highly innovative long-term co-design partnership between the University of Cambridge, UK Research & Innovation, the UK Atomic Energy Authority and global tech leaders Intel and Dell Technologies. This partnership brings highly valuable technology first-mover status and inward investment into the UK technology sector. Dawn, supported by UK Research and Innovation...
