7 events found.
Week of Events
Monday, March 9, 2026
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Virtual EventMarch 9, 2026Hendawy, M. (CM) – Autonoming Child Online Safety in the Age of AI: From Control to Digital Co-Agency Across Cultures
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Hybrid EventMarch 9, 2026Robbins, A. (ECE) – How to train your organoid: goal-directed learning in biological neural networks
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March 9, 2026Harrison, D. (CS) – Multi-Level Control in Neural Dialogue Generation: Style, Semantics, and Selection through Over-Generation and Ranking
Virtual Event
Hendawy, M. (CM) – Autonoming Child Online Safety in the Age of AI: From Control to Digital Co-Agency Across Cultures
Children’s lives are now inextricably linked with AI-driven digital systems that shape learning, social interaction, and development. This has elevated child online safety to a central concern for families, policymakers, and educators. This makes Child online safety a wicked socio-technical problem, emerging from the complex interplay of social norms, platform incentives, cultural expectations, and rapidly […]
Hybrid Event
Robbins, A. (ECE) – How to train your organoid: goal-directed learning in biological neural networks
Artificial neural networks can now learn to play games, control robots, generate language, and solve complicated reasoning tasks, yet we still lack a clear understanding of how to directly guide learning in biological neural networks. We show that brain organoids can learn to solve a fundamental control task, balancing an inverted pendulum, through closed-loop electrophysiology. […]
Harrison, D. (CS) – Multi-Level Control in Neural Dialogue Generation: Style, Semantics, and Selection through Over-Generation and Ranking
End-to-end neural generation models have largely displaced the modular architectures that once gave dialogue system designers explicit control over what is said and how it is said. While these models produce fluent text, they collapse content planning, sentence planning, and surface realization into a single undifferentiated decoding step, sacrificing the controllable structure that earlier systems […]
Tuesday, March 10, 2026
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Virtual EventMarch 10, 2026Mashhadi, N. (CSE) – Compositional, Clinically Conditioned, and Confound-Aware Deep Learning for Alzheimer’s Disease Neuroimaging
Virtual Event
Mashhadi, N. (CSE) – Compositional, Clinically Conditioned, and Confound-Aware Deep Learning for Alzheimer’s Disease Neuroimaging
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and a leading cause of dementia. Neuroimaging and clinical biomarkers can reveal early disease changes, but building reliable machine learning models is difficult because data come from different scanners and sites, some modalities are missing, labeled cohorts are limited, and factors such as age and scanner/site effects […]
Wednesday, March 11, 2026
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Virtual EventMarch 11, 2026Yang, S. (CSE) – Beyond Image Editing: Building Generalized Image Customization Systems
Virtual Event
Yang, S. (CSE) – Beyond Image Editing: Building Generalized Image Customization Systems
Current generative vision models struggle with image customization that requires multi-step reasoning or real-world knowledge. This proposal introduces generalized image customization, enabling systems to execute complex, inferential modifications rather than just simple edits. The research focuses on the foundational framework required for this generalization, specifically high-quality training data, scalable evaluation benchmarks, self-improving training paradigms that […]
Thursday, March 12, 2026
No events on this day.
Friday, March 13, 2026
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Virtual EventMarch 13, 2026Fan, Y. (CSE) – Building Human-Centered Multimodal AI Agents
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Hybrid EventMarch 13, 2026Moghadam, M. (CE) – Constraint-Aware Scene Understanding and Trajectory Generation Using Deep Reinforcement Learning for Autonomous Vehicles
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March 13, 2026Wang, H. (CSE) – Accelerating RTL Simulation with Specialized Graph Partitioners
Virtual Event
Fan, Y. (CSE) – Building Human-Centered Multimodal AI Agents
As multimodal artificial intelligence systems become increasingly embedded in everyday technology, there is a growing need to design human-centered AI agents that support and amplify human capabilities rather than replace them. This dissertation investigates how to build human-centered multimodal AI agents, framing human-centeredness as an agent-level objective that requires both accessible, assistive interaction and reliable, […]
Hybrid Event
Moghadam, M. (CE) – Constraint-Aware Scene Understanding and Trajectory Generation Using Deep Reinforcement Learning for Autonomous Vehicles
Advanced driver-assistance systems (ADAS) are commonly organized as modular pipelines that transform raw sensor measurements into low-level actuation commands through perception, planning, and control. While learning-based methods have achieved state-of-the-art performance in perception and environment modeling, the planning layer remains a key bottleneck for reliable autonomy. Highway driving in particular requires long-horizon reasoning and socially […]
Wang, H. (CSE) – Accelerating RTL Simulation with Specialized Graph Partitioners
Register transfer level (RTL) simulation is an invaluable tool for developing, debugging, verifying, and validating hardware designs. However, the performance of RTL simulation has long been a limiting factor in industry. Despite the inherent parallelism of hardware, current RTL simulators have not achieved practical performance gains due to fundamental challenges in communication, synchronization, memory bandwidth, […]
Saturday, March 14, 2026
No events on this day.
Sunday, March 15, 2026
No events on this day.