
Our lab has been awarded a $2.5M grant from the National Science Foundation to study advanced AI techniques for climate change modeling. This project will involve collaboration with the Earth Sciences department and several industry partners.

Our paper "Efficient Transformer Models for Resource-Constrained Devices" has been accepted for publication at NeurIPS 2023. This work introduces novel techniques to optimize transformer architectures for deployment on edge devices.

I will be giving an invited talk on "The Future of AI in Healthcare" at the International Conference on AI in Medicine in September 2023. The talk will cover our recent work on medical image analysis and predictive healthcare.

We are excited to welcome two new PhD students, Alex Chen and Maria Rodriguez, to our research group this semester. Alex will focus on reinforcement learning, while Maria will work on multimodal learning for healthcare applications.

Our paper "Novel Approaches to Few-Shot Learning in Computer Vision" received the Best Paper Award at CVPR 2022. This work introduces a new framework for learning from limited labeled data that significantly outperforms previous approaches.