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Analyzing Threats of Large-Scale Machine Learning Systems

MBZUAI · Invalid Date

A PhD candidate from the University of Waterloo presented on threats from large machine learning systems at MBZUAI. The talk covered data privacy during inference and the misuse of ML systems to generate deepfakes. The speaker also analyzed differential privacy and watermarking as potential solutions. Why it matters: Understanding and mitigating the risks of large ML systems is crucial for responsible AI development and deployment in the region.

Inspiring the next generation of machine learning systems graduates

MBZUAI · Invalid Date

Dr. Qirong Ho joins MBZUAI as an assistant professor focusing on machine learning systems, aiming to inspire students to specialize in this area. He emphasizes the importance of AI software systems for turning AI prototypes into real products, addressing a skills imbalance in the AI field. MBZUAI is expanding its machine learning department and finalizing its Centre for Integrative AI. Why it matters: This highlights MBZUAI's focus on developing expertise in AI infrastructure and systems, crucial for translating research into practical applications within the UAE and beyond.