Machine learning and deep learning have had a significant impact on the advancement of AI by enabling AI models to learn from data without explicit programming rules. However, most of the time, training and improving these models requires significant and costly computational power. Here lies the value of the "Machine Transfer Learning" approaches, which enable the designers of AI systems to significantly reduce the training cost and time for producing effective machine learning models in production.
This webinar will introduce the "Machine Transfer Learning" concept and its approaches, as well as their power to build AI systems with better economics and faster projects, providing insight to move forward towards more efficient waves of the applied AI systems
Speaker:
Dr. Ahmed S. ELSHEIKH
R&D Manager at ITIDA-SECC
Attendance is FREE
Secure your spot now, register here:
https://attendee.gotowebinar.com/regi.../3390497391726430813
Date: 24 June 2026
Time: 12:00 pm- 1:00 pm - Cairo Local Time.














