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The RQS senior investigator was recognized for his research that uses ultracold atoms to study a broad range of topics.

Amitabh Varshney is leading an effort to develop new methods for assessing the reliability of AI- and machine learning-enabled medical devices.

The report calls for expanded community college programs, national resource sharing and stronger regional partnerships to build U.S. quantum talent pipeline.

More than 120 researchers gathered at the University of Maryland to explore advances in computational and experimental microbiome science.

Led by Mohammad Hajiaghayi, the $2.6 million project aims to create AI ‘co-authors’ for complex math research.

Natalie Lang is transforming encrypted machine learning from a theoretical challenge into a practical reality.

Sarah Wiegreffe is investigating the internal workings of LLMs, focusing on AI safety, reliability and giving users tangible control over how AI generates text.

The funding incentivizes a wide range of stakeholders to engage with and influence the future of AI.

UMD’s Maria Isabel Magaña talks about socio-cultural influences in AI development and governance.

Evan Economo helps reveal insects’ diversity in database of extraordinary 3D images.