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Autonomous Teams: Where Learning Meets Control

Beyond tele-operation; generating large-scale data for training humanoid VLAs + Safe Robot learning in the real world

AI Readiness in Peripheral Regions: Insights from the Canadian Maritimes

Ask not what AI can do for control, ask what control can do for AI

From Digital Twins to the Twinning Paradigm

Supervisory Control–Driven Scheduling for Complex Manufacturing Systems

Distortion models for estimating human error probabilities

Invariance as the key enabler for accurate Koopman-based approximations of dynamical systems

When AI becomes a scientific instrument

Multi-Modal Perception and Visual Cue Fusion for Assistive Agents

Integrating AI with Control Theory for Complex Mobility Systems

Bayesian Optimization: Theory, Applications, and Challenges Ahead

Next Generation Workforce Scheduling with AI

Multi-Agent LLM Systems: How We Build, Test, and Use Them (for Testing)

When Machines Care: Designing Proxy Authority in an Aging World

Spiking Intelligence: Reconciling Physics and Algorithmics

Transforming everyday spaces into contactless, ambient Health Monitoring Systems

Introductory Workshop on Machine Learning for Spatial Analysis in ArcGIS Pro

Shaping the Future of Mobility

Simulated Users as Interactive Crash Test Dummies: How Computationally Rational Models can Improve User Interface Design

On the alignment of control and accountability in the development and use of AI

Design and the Social Construction of AI

Shortcuts and other shortcomings in machine learning for medical imaging

Stability of optimal and near-optimal control laws

Ecological Interactions in Computational Agroecology

The varieties of value alignment

A collection of interdisciplinary approaches to robots and emotions

Perspective taking, partner models and user behaviour in conversational interface interaction

Towards Self-Improving Machine Learning

Follow the data! Responsible AI starts with responsible data management

Imbalanced Learning and Applications of AI techniques for Manufacturing and Logistics

Climate Adaptation with Reinforcement Learning: Experiments with Flooding and Transportation in Copenhagen

Logically-consistent deep learning

Leveraging AI/ML and DT to solve complex problems in different applications domains

Safe Control of Learning-Enabled Autonomous Systems using Conformal Prediction

Reinventing ASR: Multilingual, Security-Aware, Healthcare-Driven, and Beyond

Transport justice versus modeling, optimization and AI: two worlds apart?

AI for Antibiotic Discovery

Blending Scientific Machine Learning and Numerical Methods: A Pathway to Next-Generation Numerical Solvers

An algorithmic tour of multi-agent pathfinding

Human-Aware AI

Live coding and algorithmic patterns

Models and Algorithms for Transit Centric Urban Mobility

Machine Learning for Monitoring and Control of Automotive Vehicles

Nonlinear policy optimization in deep reinforcement learning: policy gradients for wide neural networks

Matter and Meaning: Towards A Soft Science of Soft Robots

A Little Anarchy Never Hurt Anyone: Beyond Worst-Case Equilibria in Games

Intensive AI workshop: The use of artificial neural networks in machine learning

AI in aging care anywhere: bringing technological advances to rural areas

Learning on Graphs: Advances and Applications

The interplay of AI and Multimodal Data to support human learning

Lecture: Machine consciousness, an evolutionary frontier Workshops: AI & Ethics workshop

Domain Generalization and Representation Learning in Microscopy and Beyond

Personalization through the Evolution of Tastes

Learning from poor information: a glance behind, a glimpse ahead

Use and Abuse of Machine Learning in Scientific Discovery

Logic meets Learning - Formal Synthesis with Neural Templates

Neuromorphic engineering and robots

Tools to think with

Turning the Tide: How Digital Twins and Spatial Computing can Achieve Sustainable Development

Lessons Learned after 25 Years Designing Multi-Objective Evolutionary Algorithms

Advancing Machine Learning Solutions for Environmental Science Challenges

The inevitability of AI errors and the challenge of training accurate and verifiably stable data-driven AI

Lecture 1: Interactive object learning and perception with vision and touch Lecture 2: Building reactive behaviors for robotics with behavior trees