Kate Saenko

In this discussion with Kate Saenko, an associate professor at Boston University and a consulting professor at the MIT-IBM Watson AI Lab, she dives into the exciting world of multimodal learning. Kate highlights the significance of integrating vision and language, revealing innovations like DALI 2 and CLIP. She addresses bias in AI sourced from vast online datasets and shares insights on reducing labeling costs through effective prompting techniques. The conversation also touches on the challenges facing smaller labs in a resource-dominated landscape, alongside strategies for robust model generalization.