In celebration of World Tuberculosis (TB) Day, our esteemed guest, Zainab Abdullahi, a seasoned Nigerian medical lab scientist with extensive hands-on experience with TB patients, delves into the topic of tuberculosis in Africa. Join us as we examine the challenges posed by TB infection, its prevalence in Africa, and explore its causes, prevention, and treatment options.

🎥: https://youtu.be/zEqBPhVRHio

“The World TB day is commemorated to raise public awareness about the devastating health, social and economic consequences of tuberculosis (TB) and to step up efforts to end the global TB epidemic.” – https://www.who.int/campaigns/world-tb-day/

Learn more about Zainab Abdullahi

Linkedln: https://www.linkedin.com/in/zainab-abdullahi-16a241203

There is a lot of misunderstanding and hype surrounding AI, fueled by exaggerated marketing and capitalist motives. This episode features Kathryn Kure and Jonathan Poritz as we delve into 'AInt': their critical examination of AI. Together, we explore the harms and exaggerations surrounding AI, including its unsustainable energy consumption, exclusivity, and ethical dilemmas, while also assessing its potential threat to the global creative commons.

Watch their original presentation at the Creative Commons Global Summit 2023: https://www.youtube.com/watch?v=8fPQz5ZCKqQ&list=PLPDjhzarwzChlePJkWR1iOaoUpCDQYGXt&index=21

Learn more about Jonathan Portitz

Mastodon: @poritzj@mastodon.social

Website: https://poritz.net/jonathan

Learn more about Kathryn Kure

Twitter: @datamyna

Linkedln: https://www.linkedin.com/in/kathrynkure/

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This podcast follows from the presentation at https://youtu.be/UN1pk2lvME8. In this episode, we're joined by Chisom Paula Ogamba, sociolinguist, discourse analyst, feminist and lecturer. In this episode, we chat with Chisom Ogamba about Nigerian language and cultural habits and how they influence sexual abuse and victim silence in Nigeria.

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This podcast follows from the presentation at https://youtu.be/B6ARayTDmz4. In this episode, we're joined by Brian Muhia, co-Founder of Fahamu Inc, and CTO of Equiano Institute’s Causality, Interpretability and Representation Learning group. We talk about the struggles of charting your own path (in a world where paths to success are usually predefined). We round it up with discussions around mechanistic interpretability, causality and deep learning.

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This podcast follows from the presentation at https://youtu.be/rV5bUikOe88. In this episode, we're joined by Opeyemi Osakuade, a PhD student at the University of Edinburgh, engaged in the study of speech models, with a particular focus on low-resourced languages. Opeyemi Lukman discusses the challenges of applying advanced speech representation models, like HuBERT, to tonal languages, using Yorùbá as a case study. The episode explores the strengths and limitations of HuBERT in capturing the nuances of Yorùbá's tonal system.

Follow Opeyemi Osakuade

Twitter: https://twitter.com/o_feranmi_

Linkedln: https://www.linkedin.com/in/opeyemi-osakuade/

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This podcast follows from the presentation at https://youtu.be/J9CNrw4OevQ. In this episode, we're joined by Lukman Enegi Ismaila, a machine learning engineer and neuroimaging researcher.

Lukman discusses his innovative African Biobank solution, tackling the scarcity of medical imagery data for African scientific research. Lukman envisions a collaborative Biobank framework uniting organizations, governments, health centers, academia, and technology institutions.

Tune in for a glimpse into the future of transformative health research in Africa!

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This podcast follows from the presentation at https://youtu.be/F0Hrhu9-E-M. In this episode, we host Elizabeth Salesky, PhD student at Johns Hopkins University and ☕😀 caffeinated optimist. We discuss building AI evaluation datasets under realistic conditions.

This podcast follows from the presentation at https://youtu.be/1wqbhOIX6I4. In this episode, we host Favour James and discuss topics like healthcare patient data digitization, data accessibility and sharing, cancer research at the Google Summer of Code, building datasets, and being an “artificial intelligence engineer” in the future.