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Africa s largest inter-university hackathon brings students together on Zindi for data science, for good

Content provided by Last updated: 3 hours ago UmojaHack Africa 2021 was an unprecedented success, bringing more than 1000 students from 126 universities across Africa to compete on Zindi (www.Zindi.africa) in a virtual machine learning hackathon on the weekend of 27-28 March. More than $10 000 USD in prizes were awarded to data science students from 9 African countries, and more than 8500 submissions were made to solve three real-world machine learning challenges on Zindi. Students from 21 African countries joined the event, representing Algeria, Benin, Cameroon, Côte d’Ivoire, Egypt, Ethiopia, Ghana, Guinea, Kenya, Malawi, Morocco, Nigeria, Rwanda, Senegal, South Africa, Sudan, Tanzania, Tunisia, Uganda, Zambia and Zimbabwe.

Africa s largest inter-university hackathon brings students together on Zindi for data science, for good | The Guardian Nigeria News - Nigeria and World NewsAPO Press Releases — The Guardian Nigeria News – Nigeria and World News

UmojaHack Africa 2021 was an unprecedented success, bringing more than 1000 students from 126 universities across Africa to compete on Zindi (www.Zindi.africa) in a virtual machine learning hackathon on the weekend of 27-28 March. More than $10 000 USD in prizes were awarded to data science students from 9 African countries, and more than 8500 submissions were made to solve three real-world machine learning challenges on Zindi. Students from 21 African countries joined the event, representing Algeria, Benin, Cameroon, Côte d’Ivoire, Egypt, Ethiopia, Ghana, Guinea, Kenya, Malawi, Morocco, Nigeria, Rwanda, Senegal, South Africa, Sudan, Tanzania, Tunisia, Uganda, Zambia and Zimbabwe. They participated in three different machine learning challenges: a financial resilience prediction challenge, a logistics challenge for African B2B service provider Sendy (www.Sendyit.com), and a computational biology challenge using the DeepChain™ (www.DeepChain.bio) platform developed by InstaDeep

Africa s largest inter-university hackathon brings students together on Zindi for data science, for good – AfricaBusiness com

UmojaHack Africa 2021 was an unprecedented success, bringing more than 1000 students from 126 universities across Africa to compete on Zindi in a virtual machine learning hackathon on the weekend of 27-28 March. More than $10 000 USD in prizes were awarded to data science students from 9 African countries, and more than 8500 submissions were made to solve three real-world machine learning challenges on Zindi. Students from 21 African countries joined the event, representing Algeria, Benin, Cameroon, Côte d’Ivoire, Egypt, Ethiopia, Ghana, Guinea, Kenya, Malawi, Morocco, Nigeria, Rwanda, Senegal, South Africa, Sudan, Tanzania, Tunisia, Uganda, Zambia and Zimbabwe. They participated in three different machine learning challenges: a financial resilience prediction challenge, a logistics challenge for African B2B service provider Sendy, and a computational biology challenge using the DeepChain™ platform developed by InstaDeep. The winning solutions developed by Zindi users will be

Standard Bank turns to blockchain for cross-border trade processes

Feb 26, 2021 Standard Bank Group has partnered with Hedera Hashgraph, an enterprise-grade distributed public ledger, and joined the Hedera Governing Council. Standard Bank will establish the continent’s first Hedera network node, which is set to solve some of the sore points that have historically beset the development of cross-border trade. Lengthy settlement periods, information asymmetry between multiple parties involved in a transaction, which ends up creating delays in receiving approval from intermediaries, are some of the challenges that create bottlenecks in cross-border trade. In addition, there is little to no visibility or transparency for all parties involved. Hedera’s distributed ledger technology (DLT) effectively allows for the sharing of information between two parties involved in a transaction and ensures that that information or data is in fact credible and authentic – without the need for a trusted intermediary. Transactions conducted via the DLT platform

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