CyberFaCES

The Rosen Center for Advanced Computing (RCAC) is excited to share a short course, “Unveiling the Mystery of Deep Learning: Past, Present, and Future”. This course is designed to provide those who utilize artificial intelligence (AI) tools with a deeper understanding of the technology, allowing them to innovate in the field as well as optimize their workflows.

Deep learning has revolutionized artificial intelligence, but its journey from early theoretical foundations to modern breakthroughs has been long and complex. “Unveiling the Mystery of Deep Learning: Past, Present, and Future” is a lecture series that will explore the historical evolution of deep learning, tracing its origins from the early days of neural networks in the 1980s to its resurgence in the 2010s and 2020s. The series will be hosted by RCAC in conjunction with Purdue’s Institute for Physical AI (IPAI). Dr. Elham Barezi, an AI Research Scientist for RCAC, will lead the course. Throughout the series, participants will obtain a comprehensive understanding of what deep learning is, how it evolved, and where it is headed. The goal is to equip participants with deeper knowledge of AI’s development, enabling them to think critically about future innovations rather than just follow trends. By understanding the strengths and limitations of different deep learning techniques across time, participants will be better equipped to choose the most suitable approach for their specific problems and data.