Stakeholders’ Engagement Meeting with Persons with Disabilities in the Ashanti Region of Ghana
The Usage and Uptake Team visited the Ashanti Region of Ghana to engage directly with persons with disabilities and caregivers […]
King Mswati III of Eswatini Visits KEEP and Tours the Responsible AI Lab (RAIL)
As part of his official visit to Ghana, His Majesty King Mswati III of Eswatini (formerly Swaziland) paid a visit
RAIL STUDENT PROFILE: Julius Adinkrah
Julius Adinkrah is a PhD researcher at Kwame Nkrumah University of Science and Technology (KNUST) and a dedicated scholar at the Responsible AI
AI4SD Project Donates Lego Kits to Robotics Club Schools
The Artificial Intelligence for Sustainable Development (AI4SD) Project, funded by the French Embassy in Ghana, distributed Lego robotics kits to fourteen (14) Responsible AI
Stakeholders’ Engagement Meeting with Persons with Disabilities in the Northern Region of Ghana
The Usage and Uptake Team visited the Northern Region of Ghana to interview individuals with disabilities about their experiences, needs,
Ghana’s Mikrobot Academy Shines at Robofest World Championship in Michigan
The Prime Coders, a Ghanaian robotics team trained under the guidance of the Mikrobot Academy, KNUST College of Engineering Innovation
Training Session on Conducting Qualitative Interviews on Assistive Device Use and Uptake by Persons with Disabilities (PWDs) – Scoping Study
As part of the preparatory activities for the “Usage and Uptake of Assistive Devices by Persons with Disabilities (PWDs) –
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Diversity in Stable GANs: A Systematic Review of Mode Collapse Mitigation Strategies
Matthew Cobbinah, Henry Nunoo-Mensah, Prince Ebenezer Adjei, Francisca Adoma Acheampong, Isaac Acquah, Eric Tutu Tchao, Andrew Selasi Agbemenu, Jerry John Kponyo, Emmanuel Abaidoo Mode collapse poses a critical
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Enhancing speech recognition through diverse shared features accent classification
Amina Salifu, Henry Nunoo Mensah, Eric Tutu Tchao, Francisca Adoma Acheampong, Andrew Selasi Agbemenu & Jerry John Kponyo Accurately recognising and processing accented speech remains a
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Wavelet-Enhanced Deformable Convolutional Network for Breast Cancer Classification in High-Resolution Histopathology Images
Albert Dede, Henry Nunoo-Mensah, Emmanuel Kofi Akowuah, Kwame Osei Boateng, Iddrisu Danlard, Prince Ebenezer Adjei, Francisca Adoma Acheampong, Jerry John Kponyo The limitations of deep learning methods