Tech Talk - Next-Gen AI Systems: Scaling Efficiency and Security across Edge and Quantum
This seminar series explores the foundations of next-generation intelligent systems, bridging the gap between physical deployment at the edge and advanced computational paradigms in the quantum realm. By examining the intersection of hardware and software, the event addresses the gigantic challenges of energy costs, security threats, and hardware limitations inherent in modern AI. Attendees will gain insights into cross-layer design methodologies that ensure AI models are not only accurate but also efficient, robust, and scalable under real-world constraints. From enabling autonomous systems like UAVs and robotics to pushing the boundaries of quantum advantage, these talks outline the future of dependable and intelligent computing.
Speakers and Presentations:
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Dr. Muhammad Shafique, Full Professor and Director of the eBRAIN and iCAS Labs at New York University , will present "Energy Efficiency and Security for Edge-AI and Embodied-AI: Architectures, Systems, Applications and Advanced Trends".
- Dr. Alberto Marchisio, Research Team Lead at the eBRAIN Lab, New York University Abu Dhabi , will present "Towards Efficient, Robust, and Scalable Quantum Machine Learning".
Date and Time
Location
Hosts
Registration
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- Torino, Piemonte
- Italy 10129
- Room Number: 13S
- Starts 17 April 2026 10:00 PM UTC
- Ends 23 April 2026 10:00 PM UTC
- No Admission Charge
Speakers
Muhammad Shafique of eBRAIN and iCAS Labs at New York University
nergy Efficiency and Security for Edge-AI and Embodied-AI: Architectures, Systems, Applications and Advanced Trends
Alberto Marchisio of eBRAIN Lab, New York University Abu Dhabi