News

In this talk, we delve into the evolution of low-rank optimization techniques for Large Language Models (LLMs), highlighting the journey from GaLore, to Q-GaLore and WeLore.

SCI is pleased to welcome a new chair of the Department of Computer Science (CS), Adriana Kovashka! 

Senior computer science Student Griffin J. Hurt has been named a 2024 Graduate Research Fellowship Program (GRFP) scholar. 

In this talk, we will discuss the evolution of this theorem and the surprising developments of the 1980s that led to the concept of the geometric phase. We will use simple models to demonstrate how QAC is applied in applications. Additionally, we will explore how the discovery of geometric phases has led to the idea of quantum holonomic computing.

In this talk, I will present our recent research on creating AI systems that can learn to understand our multimodal world with minimal human supervision. I will focus on systems that can understand images and text, and also touch upon those that utilize video, audio, and lidar. 

To avoid repetitive analysis, environmental impact factors (EIF) of common materials and products are published for use by LCA experts. However, finding appropriate EIFs for even a single product under study can require hundreds of hours of manual work, especially for complex products. We present Flamingo, an algorithm that leverages natural language machine learning (ML) models to automatically identify an appropriate EIF given a text description.