Designing AI That Never Sees Your Data
Natalie Lang is transforming encrypted machine learning from a theoretical challenge into a practical reality.
UMD to Lead DARPA-Funded Effort to Accelerate Mathematical Discovery With AI
Led by Mohammad Hajiaghayi, the $2.6 million project aims to create AI ‘co-authors’ for complex math research.
Making AI More Understandable—and Controllable
Sarah Wiegreffe is investigating the internal workings of LLMs, focusing on AI safety, reliability and giving users tangible control over how AI generates text.
TRAILS Announces 11 Broader Impact Awards to Cultivate Next Generation of Trustworthy AI Leaders
The funding incentivizes a wide range of stakeholders to engage with and influence the future of AI.
Developing a Better Understanding of Global Participation in AI
UMD’s Maria Isabel Magaña talks about socio-cultural influences in AI development and governance.
800 Ant Species, Viewed Closer Than Ever Before
Evan Economo helps reveal insects’ diversity in database of extraordinary 3D images.
UMD Researcher Advances Data-Driven Approach to Household Robotics
Seungjae Lee is developing AI algorithms that mimic human behavior for robots to train on.
UMD Microbiome Fellows Cap Seven-Month Program with Public Health Panel
Graduate students spotlight the path from microbiome discovery to real-world impact.
NIH Awards $12.5M for Alzheimer’s Researchers to Use AI to Scour Biobank Data
A multi-institutional project co-led by Heng Huang aims to improve diagnosis, treatment for Alzheimer’s.