UMD Researchers Advance Robotics to Perform Complex Household Tasks
Technology developed by UMIACS and NVIDIA will power next-generation AI-driven robotic systems.
Wiegreffe Receives Grant to Stress-Test the Future of AI Transparency
The $270K award from Coefficient Giving supports her efforts to strengthen AI safeguards.
AI’s Growing Energy Demands Raise Concerns About Infrastructure and Control
High-performance computing systems consume vast amounts of electricity, generating significant heat that can affect local environments, including water quality.
New UMD-FDA Collaboration to Advance Evaluation of AI-Enabled Medical Devices
Amitabh Varshney is leading an effort to develop new methods for assessing the reliability of AI- and machine learning-enabled medical devices.
Spielman Named AAAS Fellow
The RQS senior investigator was recognized for his research that uses ultracold atoms to study a broad range of topics.
New Quantum Workforce Report Highlights Need for Targeted Investment, Cross-Regional Coordination
The report calls for expanded community college programs, national resource sharing and stronger regional partnerships to build U.S. quantum talent pipeline.
Director's Message to UMIACS March 2026
Artificial intelligence continues to have a profound and far-reaching impact on our lives. From health care and education to autonomous robotics and beyond, AI-infused systems are enhancing efficiency, expanding knowledge, and improving medical diagnostics and patient outcomes.
Mid-Atlantic Microbiome Meet-up Marks 10th Anniversary with Focus on Engineering and Data-Driven Discovery
More than 120 researchers gathered at the University of Maryland to explore advances in computational and experimental microbiome science.
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.