Muhammad Shafique from NYU Abu Dhabi discusses building energy-efficient and robust EdgeAI systems. The talk covers trends, challenges, and techniques for optimizing software and hardware stacks. These optimizations aim to enable embodied AI in autonomous systems, IoT-Healthcare, Industrial-IoT, and smart environments. Why it matters: The research addresses key challenges in deploying AI on resource-constrained edge devices in the GCC region, particularly regarding energy efficiency and security.
Eliseo Ferrante from NYU Abu Dhabi presented work on increasing the controllability of swarm robotics systems. The research covers microscopic control via implicit intelligent leaders and macroscopic control via automated generation of swarm behaviors. Grammatical evolution and generative AI methods are used to produce collective behaviors aligned with human specifications. Why it matters: This research enhances the applicability of swarm robotics in real-world scenarios by improving control and coordination, potentially impacting industries like logistics, environmental monitoring, and disaster response in the region.
NYU Abu Dhabi hosted a talk by Prof. Debdeep Mukhopadhyay on the intersection of machine learning and hardware security. The talk covered using ML/DL for side-channel attacks, leakage assessment in crypto-devices, and threats to hardware security primitives. Prof. Mukhopadhyay is a visiting professor at NYU Abu Dhabi and Institute Chair Professor at IIT Kharagpur. Why it matters: The talk highlights the growing importance of hardware security in modern systems and the role of machine learning in both attacking and defending hardware vulnerabilities.