As part of its efforts to keep pace with modern technological developments and to enhance the scientific and practical aspects, the Department of Computer Networks at the College of Computer and Information Technology held a scientific workshop entitled “Artificial Intelligence Applications in Network Fault Diagnosis.”
The workshop was delivered by Assistant Lecturer Marthad Hussein Sabri, who presented the concept of artificial intelligence and its growing importance in the field of computer networks. He highlighted the most prominent intelligent applications used in detecting, analyzing, and predicting network faults, contributing to improved performance efficiency and reduced downtime.
The workshop also addressed models and examples illustrating how machine learning techniques and data analysis can be employed in diagnosing network problems, in addition to discussing the challenges and future prospects of this vital field.
