Date: Wednesday, April 30, 2025, 10:00-12:00, Cyprus time
Venue: This training event is held as an onsite event. You are welcome to join us at the Andreas Mouskos Auditorium, The Cyprus Institute.
Language: English
Registration: Registration for this event is open until Monday, April 28, 2024. Registration form here.
Agenda
10:00 - 11:00
Dr Christodoulos Stylianou
Title: Generative AI – What It Is, How to Use It, and What to Watch Out For
Generative AI is transforming workplaces by enhancing productivity and automating routine tasks. This 1-hour presentation provides a clear understanding of what Generative AI is, how it works, and how it can be used effectively and safely in office environments. Attendees will gain insights into best practices, ethical considerations, and potential risks associated with its use. This session is designed for office employees across public and private organizations, regardless of their technical background. Whether they are new to AI or already using it in their work, this seminar will provide them with practical guidance on leveraging AI tools responsibly and efficiently. Attendees will leave with a foundational understanding of Generative AI, practical strategies for integrating it into their workflow, and an awareness of the ethical and practical considerations necessary for responsible use.
11:00 - 12:00
Dr. Christodoulos Stylianou
Hands-On: Using GenAI (ChatGPT) in the Office
About the speaker:
Christodoulos (Chris) Stylianou joined the Computation-based Science and Technology Research Center (CaSToRC) at The Cyprus Institute (CyI) as a Research Engineer for the EuroCC2 Project. He holds an undergraduate degree in Electrical & Electronic Engineering (MEng) from Imperial College London, a Masters Degree in High Performance Computing (HPC) with Data Science (MSc) and a PhD in HPC, Computational & Data Science and Software Engineering from EPCC at The University of Edinburgh.
Chris specializes in the area of High Performance Computing and more specifically in Heterogeneous and Distributed Computing, Performance Portability, and the application of Artificial Intelligence in accelerating Sparse Linear Algebra for the next generation hardware architectures. His current research interests are around acceleration of training time via sparsification of Neural Networks. Chris is also skilled in software development, training, and fostering collaboration between academia, industry, and government with a growing interest in product management.