Mathematics Webinar | Deep Neural Networks and their Future Direction, 26 September 2024 (EST)
The rapid advancements in artificial intelligence, particularly within the past few decades, have significantly impacted lives, businesses, and industries. ChatGPT and other large language models stand out as being particularly influential among these advancements. This webinar aims to explore these cutting-edge developments in AI while placing a specific focus on deep learning methodologies.
The webinar features three distinguished researchers who have made substantial contributions to the field. Their presentations will delve into the following critical topics:
- Optimization of deep learning;
- Reinforcement learning;
- Generative adversarial networks (GANs).
Join us to gain insights into the latest advancements in computer science and to discuss how these innovative technologies are shaping our world today.
Date: 26 September 2024 EST | 27 September 2024 CST
Time: 08:40–10:40 p.m. (EST) | 09:40–11:40 a.m. (CST)
More Information: https://sciforum.net/event/Mathematics-9
This is a free webinar. After registration, you will receive a confirmation email containing information on how to join the webinar. Registrations with academic institutional email addresses will be prioritized.
Unable to attend? Register anyway and we will let you know when the recording is available for viewing.
Register for free:
Program:
| Speaker/Presentation | Time in EST (26 September) |
Time in CST Asia (27 September) |
| Prof. Dr. Junzo Watada Chair Introduction |
8:40–8:50 p.m. | 9:40–9:50 a.m. |
| Dr. Arunava Roy Generative Adversarial Networks |
8:50–9:15 p.m. | 9:50–10:15 a.m. |
| Mr. Usman M Usmani Reinforcement Learning in Computer Vision: Innovations and Future Directions |
9:15–9:40 p.m. | 10:15–10:40 a.m. |
| Mr. Pradeep Naulia Overview of Meta-Heuristic Approach for Optimization of Deep Learning Neural Network |
9:40–10:05 p.m. | 10:40–11:05 a.m. |
| Q&A Session | 10:05–10:30 p.m. | 11:05–11:30 a.m. |
| Prof. Dr. Junzo Watada Closing of Webinar |
10:30–10:40 p.m. | 11:30–11:40 a.m. |
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Deadline: 1 March 2025
“Deep Neural Networks: Theory, Algorithms and Applications”
Guest Editors: Osslan Osiris Vergara Villegas, Vianey Guadalupe Cruz Sánchez and Vicente García
Deadline: 31 March 2025
“Neural Networks and Their Applications”
Guest Editor: Mario Muñoz Organero
Deadline: 30 November 2024
“Advances in Fuzzy Logic and Artificial Neural Networks”
Guest Editor: Francisco Rodrigues Lima Junior
Deadline: 30 November 2024