Optimization for ML & AI Seminar: Training Neural Networks at Any Scale
Zoom: https://bit.ly/Opt-AI-ML
Zoom: https://bit.ly/Opt-AI-ML
Hosted by the NSF AI Institute TILOS, this event is open to industry partners and NeurIPS attendees affiliated with any of the NSF National AI Research Institutes. Join us to connect with colleagues across the network of NSF AI Institutes, share research interests, and explore opportunities for collaboration. Space is limited. Register here by Monday,Continue reading "Networking Lunch Reception at NeurIPS 2025"
Announcing an AI Institute in Dynamic Systems Workshop: UrbanAI: Harnessing Artificial Intelligence for Smart Cities at NeurIPS 2025 Urban areas generate over 70% of global carbon emissions and energy use, yet remain inefficient despite technological advances. Our workshop invites the ML community to tackle the complex challenges of urban optimization—spanning energy, transportation, public health, andContinue reading "Call for Papers | UrbanAI: Harnessing Artificial Intelligence for Smart Cities Workshop (NeurIPS 2025)"
Zoom: https://bit.ly/TILOS-Seminars
Zoom: https://bit.ly/Opt-AI-ML
Zoom: https://bit.ly/TILOS-Seminars
Zoom: https://bit.ly/Opt-AI-ML
Speaker: Yang Zheng, UC San Diego Abstract: Direct policy search has achieved great empirical success in reinforcement learning. Many recent studies have revisited its theoretical foundation for continuous control, which reveals elegant nonconvex geometry in various benchmark problems. In this talk, we introduce an Extended Convex Lifting (ECL) framework, which reveals hidden convexity in classical optimalContinue reading "Optimization for ML and AI Seminar: Extended Convex Lifting for Policy Optimization in Control"
Speaker: Sung-Kyu Lim, University of Southern California Abstract: Multi-chip integration has become a standard approach in AI training and is rapidly gaining traction in edge learning applications. Leveraging 2.5D and 3D IC architecture enables substantial improvements in energy efficiency and latency by optimizing inter chip data transfer. At the core of this transformation lies the automationContinue reading "TILOS-MICS Seminar: AI-Driven Design Automation for Multi-Chip Integration in AI Chips"