A demonstration of the ‘Automated mobile microscopy diagnosis showed how medical lab technicians can be relieved of the burden of overwork. While a lab technician is advised to not exceed 20 samples in a day, this method which involves an app and smartphone attached to […]
Students of Networks Department under supervision of Dr. Mary Nsabagwa won the Universities Challenge 2023 with their innovation on Eye for the Blind: The ‘Computer vision and sonification for the blind’ innovation will save blind people the need to have a human aide all the […]
The solar powered sensor technology was introduced by Dr. Julianne Sansa Otim for monitoring and management of bees. The ‘smart bee monitor” was designed in the college lab and deployed in the field in December 2022. It enables a farmer to monitor the behavior and […]
The First Smart Classroom and Robotics Technology for teaching in Uganda worth over $100,000 launched in September 2022 for recording, broadcasting, and automation of the classroom environment. The Robot undertakes Artificial intelligence functionalities such as speech recognition, identification, photo taking and management of attendance.
Researchers from Makerere University College of Computing and Information Sciences (CoCIS), led by a second-year PhD student Paddy Junior Asiimwe have designed a device to monitor elderly people with dementia and cognitive impairment in rural Uganda. The device, wearable by the elderly (on the hand like a […]
By Proscovia Nabatte Makerere University under its Artificial Intelligence Lab has received a grant funding worth US$1,500,000 from Google to support its Ocular project that is undertaking research on usage of Artificial Intelligence to enhance the diagnosis process of Malaria, Tuberculosis and Cervical Cancer in Uganda. […]
Officials from the College of IT Engineering, School of Electronics Engineering Kyungpook National University in South Korea were in Uganda for a week to renew and further academic collaboration with Makerere University College of Computing and Information Sciences(CoCIS). The visiting team comprised Prof. Dong Seog […]
Dr. Rose Nakasi a researcher in the Automation of diagnosis of Malaria, specifically in thick blood smears using Computer Vision Models has been able to show how Artificial Intelligence can be used to diagnose malaria and improve the way the microscopy method is used in […]
