Measuring Progress in Multimodal and Embodied AI
Deep learning; multimodal evaluation; robot learning
Speaker
Ruslan Salakhutdinov
UPMC Professor of Computer Science, Machine Learning Department
Carnegie Mellon University
Biography
Ruslan Salakhutdinov is UPMC Professor of Computer Science in Carnegie Mellon University’s Machine Learning Department. His research covers deep learning, probabilistic graphical models and large-scale optimization. His faculty page links work on evaluating visual web agents, language-guided reinforcement learning for long-horizon robotics, diffusion-based data augmentation and learning across modalities. That combination connects established statistical learning methods with practical questions about what advanced systems can actually do, and how their performance should be measured.