Quinn Dombrowski's picture

Jupyter notebook streamlines machine translation for researchers

Translations of the word 'passion'

The increasing prominence of interdisciplinary studies, coupled with the mass digitization and dissemination of primary sources and scholarly literature alike, has made it possible for scholars to pursue boundary-defying research agendas in ways that were previously impossible. However, language remains a significant barrier to interdisciplinary work. Particularly when pursuing research questions that stretch across space and time, scholars inevitably encounter materials in languages with which they are unfamiliar.

Steve Masover's picture

Enabling cars to see at Berkeley DeepDrive

Lazar Supic

How computers see is the through-line running from Lazar Supic’s Bachelor’s degree in Electrical Engineering at the University of Belgrade, to his UC Berkeley PhD in Nuclear Engineering, to his current work as a Postdoc in UC Berkeley’s DeepDrive Industry Consortium (BDD). His work has taken a path that began with computer vision in robots, moved to gamma-ray tracking in atomic reactions, and now focuses on machine learning for automotive perception.

UC DLFx conference tackles the new frontier of data management

Vessela Y Ensberg (UC Davis), Emily Lin (UC Merced), Ho Jung Yoo (UC San Diego), Amy Neeser (UC Berkeley) at UCDLFx 2018

The inaugural 2018 University of California Digital Library Forum (UC DLFx), "Building the UC Digital Library: Theory and Practice," took place February 27th to March 1st at UC Riverside. The conference brought together librarians, digital technology experts, educators, policy-makers, and research support staff from the UC campuses and the California Digital Library. Participants discussed and explored how libraries and research support departments are engaging with the constantly changing and challenging world of data and digital scholarship.

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