Prime Minister of Cape Verde Visits RS2Lab
The visit of the Cape Verde Prime Minister, Ulisses Correia e Silva, to the Responsible and Smart Solutions Lab (RS2 Lab) at […]
Humber College Official Visits KEEP and RAIL to Strengthen Partnership
Mr. Alex Prokopenko, International Programmes Officer at Humber College in Toronto, Canada, paid a working visit to the KNUST Engineering
RAIL Cabo Verde Strengthens Ties with RAIL KNUST During Productive Working Visit
Dr. Arlindo Veiga, the Cabo Verde Satellite Lab Lead for the Responsible AI Lab (RAIL), embarked on a working visit
RAIL Hosts Expert-Led Training on AI Productionization and Commercialization
The Responsible AI Lab (RAIL) organised an educative training session on AI productionization and commercialisation on April 8, 2025, led by Mr. Darlington Akogo (CEO of MinoHealth
Agrivoltaics in Ghana
The energy theme of the Responsible AI Lab (RAIL) supported innovative research at the intersection of renewable energy and agriculture
SUNY Poly Team Meets with The Responsible Artificial Intelligence Lab to Explore Collaboration
The rapid expansion of AI has brought both remarkable opportunities and ethical challenges. As AI continues to shape industries and
RAIL STUDENT IMPACT
Albert Dede is a PhD candidate in Computer Engineering at Kwame Nkrumah University of Science and Technology (KNUST) and a
RAIL STUDENT IMPACT
Amina Salifu, a PhD student at Kwame Nkrumah University of Science and Technology (KNUST) and a scholar at the Responsible
Ghanaian Science Journalists Embark on Transformative Training at Imperial College London
Ten outstanding Ghanaian journalists specialising in Science, Technology, and Innovation (ST&I) reporting have embarked on a fully funded three-day training
Publication
Wavelet-Based Feature Extraction for Efficient High-Resolution Image Classification
Albert Dede, Henry Nunoo-Mensah, Emmanuel Kofi Akowuah, Kwame Osei Boateng, Prince Ebenezer Adjei, Francisca Adoma Acheampong, Isaac Acquah, Jerry John Kponyo Convolutional neural networks (CNNs) typically compress