Ask the expert: Using AI to advance veteran healthcare
According to the 2023 U.S. Census, there are almost 16 million military veterans in the U.S. The House Committee on Veterans’ Affairs invited experts to speak about using artificial intelligence to transform health care delivery, streamline services and improve outcomes for veterans.
CSE researchers add $1.16 million in new research
The College of Engineering is among Michigan State University’s top producers of research discoveries and commercialization that help build a diversified economy and generate jobs for Michigan and the Midwest. Three new National Science Foundation (NSF) grants will add $1.16 million in research funding to the Department of Computer Science and Engineering (CSE).
Sijia Liu awarded Young Investigator Award for making AI safer
An artificial intelligence (AI) researcher at Michigan State University has received an international award for his advancements in the field of neural networks.
SPIN strengthens university-corporate partnerships
Michigan State University (MSU) and SPIN, a leading micromobility provider, are deepening their innovative partnership with the launch of two new faculty-led research projects aimed at advancing sustainable transportation and smart mobility solutions.
Student view: MSU made math compute for me
My Michigan State University story starts in the summer of 2022, when I was a third-year math major at Virginia Tech, curious about how computer science could be applied in the real world. A friend from MSU recommended I apply to the Engineering Summer Undergraduate Research Experience program and that’s how I found myself in East Lansing that May.
MSU’s Anil Jain awarded BBVA Foundation Frontiers of Knowledge Award
Anil Jain, a University Distinguished Professor and Douglas E. Zongker Endowed Professor in Michigan State University’s College of Engineering, has been awarded the BBVA Foundation Frontiers of Knowledge Award in the Information and Communication Technologies category along with Michael I. Jordan of the University of California, Berkeley for “core contributions to machine learning by teaching computers to recognize patterns and make predictions based on large data sets.