Research

Decoding Dementia

The path to a world without dementia starts with a brain tissue sample. Researchers at the University of California, Davis, are developing AI-driven tools to analyze vast digital archives of brain tissue scans — work that cannot be done at scale by humans alone — to better understand dementia and improve diagnosis and treatment. 

UC Davis Joins as Core Member of Regional Semiconductor Workforce Network

The University of California, Davis, has been selected as a core member of the Pacific Intermountain Network for Education in Semiconductors, a regional node of the National Network for Microelectronics Education, or NNME, designed to strengthen and scale the semiconductor workforce across the western United States.

Marina Radulaski Named Chancellor’s Fellow

Associate Professor of Electrical and Computer Engineering Marina Radulaski and Associate Professor of Computer Science Mohammad Sadoghi are among this year’s class of Chancellor’s Fellows at the University of California, Davis. The distinction is given to early academics doing exemplary work in their fields.

International Conference on Design Automation Celebrates Aggie Engineers for Most Influential Paper of Past Decade

In 2016, Aggie Engineers set the stage with a groundbreaking paper on the methodical implementation of deep convolutional neural networks. Now, one of the world’s largest international conferences on silicon semiconductor research, ASP-DAC, is recognizing the paper as the most influential article published over the last decade.

Mechanical Power by Linking Earth’s Warmth to Space

Engineers at the University of California, Davis, have invented a device that can generate mechanical power at night by linking the natural warmth around us to the cold depths of space. The invention could be used, for example, to ventilate greenhouses or other buildings.

Controlling the (Casimir) Force

As researchers continue to shrink the size of mechanical devices, controlling the Casimir force has become the first priority. At UC Davis, Calum Shelden, a Ph.D. candidate in electrical and computer engineering, is beginning groundbreaking experimentation to test the theories.