To address the challenges of big data and compression in astronomical data, we use sampling and local low-rank approximation. And to denoise signal locally. Paper: arxiv.org/abs/2304.07050

We're excited to announce our fundraising campaign for the Deep Learning Indaba in Africa! 🇬🇭🇬🇭 Help us empower the next generation of machine learning experts by donating and spreading the word - tag 5 friends who you think could spare a small donation. gofund.me/fac92d6e

Dear Global AI Research Community 💕 Help us get our target of 250 African students get to the Deep Learning Indaba this year 🌍 The Indaba has been the critical yeast for initiatives across the continent such as Masakhane and SisonkeBiotik and beyond It's enabled the next generation of

Hi, all! Please note the updated timeline: the rollout of notifications about applications will continue until 24 June 2023! Please keep an eye out on your inbox and spam box!

We’d like to thank our amazing team of organisers who are hard at work preparing for the upcoming Indaba! If you need help or support, please consult our FAQs (shorturl.at/beuF9) & if you still need help, please reach out to the relevant team (shorturl.at/gvCNX) 🙂

Please donate if you can! We'd love for as many members of our community as possible to join us

Having a very fulfilling research visit at Curtin University and working with the MWA data, finding better unsupervised learning ways of inpainting flagged radio telescopes data for EoR science.

@UnisaScience Unisa Research Unisa UNISA Press LenkaBula

Hear the drums!!!

We are proud to announce the 2023 Deep Learning Indaba Award winners. These awards recognise excellence amongst Africans in all areas related to African flourishing, innovation and AI. You can read more about the winners here: deeplearningindaba.com/blog/2023/08/a…

Congratulations to Sydil from Rhodes University for being awarded the Runner Up Alele-Williams Master Award

We are seeking prospective IndabaX 2024 Organisers from the following countries: Botswana, Angola, Central African Republic, Chad, Congo Brazzaville, Comoros, Eritrea, Equatorial Guinea, Gabon, São Tomé and Príncipe, Niger, Sierra Leone, Cape Verde, Guinea-Bissau, Liberia,

Anomaly Detection in Power Generation Plants with Generative Adversarial Networks. (arXiv:2310.00335v1 [cs.LG]) ift.tt/8GtISrV

📢 We are coming to Senegal 🇸🇳! 📢 We are excited to announce that the Deep Leaning Indaba 2024 will be held in Dakar, Senegal at Université Amadou Mahtar MBOW from the 1st to the 7th of September. Applications launch 🚀 is just around the corner ! Don't miss it 🔔 #DLI2024 #Indaba2024

📯 First Paper Published in the Special Issue: Mathematics for Artificial Intelligence and Big Data Analysis buff.ly/3yAafVX Welcome your reading! buff.ly/3UW2G3a #MDPIOpenAccess MDPI Computer Sci & Math

My new favorite easy-to-use interactive 3D visualization library is Plotly! github.com/plotly/plotly.… Here is a visualization of the CIFAR dataset where images are first projected into 2,048-dimensional hidden vectors using InceptionV3 and then reduced to 3D using UMAP.

🪘Samy Bengio, senior director of AI and ML research at Apple, will be joining us for our second keynote. Don’t miss his talk on Tuesday, 3rd of September at 9 am  ! Livestream link will be shared soon ! #DLI2024 #Indaba2024 #XamXamlé

🪘We are extremely proud to present the recipients of the 2024 DLI awards. 🏆 It has been inspiring and uplifting to see homegrown research done by African researchers excel. 🌍✨ Read more about the winners and their research: bit.ly/AwardRecipient… #DLI2024 #XamXamlé

Thamsanqa Kambule Doctoral Award: - Winner: Irene Nandutu 🇺🇬 - Runner up: Dr. Branden Ingram

🪘Awards season is back ! 🪘 We are proud to open our 2025 awards nominations ⭐ ! The awards recognise each year excellence amongst Africans in all areas related to African flourishing, innovation and AI.🔥 Here are the categories for this year: The Kambule Doctoral Award The