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Deep Learning Indaba

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Deep Learning Indaba
NameDeep Learning Indaba
Formation2017
TypeConference and non-profit
HeadquartersJohannesburg
RegionAfrica

Deep Learning Indaba Deep Learning Indaba is an annual African gathering that promotes machine learning and artificial intelligence research and capacity building across the continent. The Indaba connects researchers, students, industry practitioners, and policymakers through workshops, lectures, and mentorship programs, fostering collaborations among networks associated with universities and research institutes. Attendees often include contributors affiliated with institutions and events such as University of Oxford, University of Cambridge, Massachusetts Institute of Technology, Stanford University, University of California, Berkeley.

History

The initiative emerged in response to efforts by academics and practitioners linked to University of Toronto, University College London, University of Washington, Carnegie Mellon University, École Polytechnique Fédérale de Lausanne to strengthen African capacity in machine learning. Early organizers included collaborators with ties to Google DeepMind, Facebook AI Research, OpenAI, Microsoft Research, IBM Research and contributors who had participated in NeurIPS, ICML, CVPR, ICLR. The first formal gatherings were modeled on experiences from workshops at Alan Turing Institute, African Institute for Mathematical Sciences, Perimeter Institute, International Centre for Theoretical Physics, and drew mentors from University of Toronto Scarborough, University of Montreal, McGill University. Subsequent editions attracted partnerships involving National Research Foundation (South Africa), African Development Bank, Royal Society, Wellcome Trust, Bill & Melinda Gates Foundation.

Mission and Goals

The organization's stated goals reflect aims similar to initiatives at UNESCO, African Union, African Union Commission, World Bank, International Monetary Fund to build local research ecosystems. It seeks to support talent pipelines through collaborations with Google AI, DeepMind, Facebook, Amazon Web Services, NVIDIA, and to link students to postgraduate opportunities at Princeton University, Yale University, Columbia University, California Institute of Technology, Imperial College London. The Indaba aims to promote diversity and inclusion by engaging networks associated with African Institute for Mathematical Sciences, University of Cape Town, University of Pretoria, Makerere University, University of Nairobi.

Conferences and Events

Annual meetings echo formats used by NeurIPS, ICML, AAAI Conference on Artificial Intelligence, ECCV, ACL (conference), with tutorials, poster sessions, and keynote lectures from researchers affiliated with ETH Zurich, Max Planck Institute for Intelligent Systems, Tsinghua University, Peking University, National University of Singapore. Satellite workshops have been co-located with events like AI for Good Summit, World Economic Forum Annual Meeting, Re•Work Deep Learning Summit, International Conference on Learning Representations and have featured speakers from Stanford AI Lab, Berkeley AI Research (BAIR), Oxford Machine Learning Research Group, Cambridge Machine Learning Group. Regional Indabas and local meetups have mirrored programs at Data Science Nigeria, Rwanda AI Community, UbuntuNet Alliance, South African Research Chairs Initiative.

Organization and Governance

The Indaba is organized by a mixture of volunteer committees, steering groups, and partner organizations drawn from African Academy of Sciences, South African National Research Foundation, University of Johannesburg, University of the Witwatersrand, Stellenbosch University. Governance models have been influenced by structures at OpenAI Scholars Program, Mozilla Foundation, Linux Foundation, Creative Commons, and collaborations have included corporate partners such as Google Research, Microsoft Research Cambridge, Amazon Research, NVIDIA Research, and philanthropic bodies like Wellcome Trust and Knight Foundation. Advisory board members have included scholars affiliated with University of Illinois Urbana-Champaign, University of Michigan, University of Edinburgh, Duke University, Brown University.

Programs and Initiatives

Key programs include mentorship and fellowship schemes modeled after Schmidt Science Fellows, Rhodes Scholarships, Commonwealth Scholarships, and training curricula inspired by coursework at Coursera, edX, fast.ai, Udacity. Initiatives also encompass hackathons, student research competitions, and capacity-building workshops in partnership with Kaggle, DataCamp, Amazon Web Services Educate, Microsoft Learn. Collaborative projects have linked participants to incubators and accelerators such as Y Combinator, Techstars, Seedstars World, VC4A, and research exchange programs with Institut Pasteur, CERN, Salk Institute for Biological Studies.

Impact and Recognition

The Indaba has been credited with contributing to increased research outputs from groups at University of Cape Town, University of the Witwatersrand, University of Pretoria, Makerere University, University of Nairobi, leading to publications at NeurIPS, ICML, ACL (conference), EMNLP, KDD, SIGMOD, and collaborations with industry research labs including Google DeepMind, Facebook AI Research, Microsoft Research, IBM Research. Award recognitions for affiliated researchers include prizes from Royal Society, ACM, IEEE, Turing Award, Royal Society of Edinburgh, and invitations to panels at World Economic Forum, United Nations General Assembly, Africa Innovation Summit. The network has influenced policy dialogues involving African Union, UNESCO, World Bank, and has been cited in reports by McKinsey & Company, PwC, Deloitte.

Category:Machine learning organizations