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A new name for UC Berkeley’s data science division: the Division of Computing, Data Science, and Society

/ February 5, 2020

Berkeley's Division of Data Science and Information is now officially named the Division of Computing, Data Science, and Society.

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BIDS Data Science Research Seminars - Spring 2020 speakers announced

Marsha Fenner / January 30, 2020

BIDS Data Science Research Seminars feature Berkeley faculty and BIDS collaborators doing visionary research that illustrates the character of data science in this new decade. The series is offered to engage our diverse campus community and to enrich connections, discourse, and discovery among colleagues.  All seminars are open to the public, and campus community members are especially encouraged to attend.   All seminars will be held at BIDS in 190 Doe Library, UC Berkeley. 

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NASA Berkeley Aviation Data Science Seminars: New weekly lecture series launches on January 22

/ January 8, 2020

UAM@Berkeley, the Berkeley Institute for Transportation Studies, and BIDS will together launch the NASA-Berkeley Aviation Data Science Seminar Series on January 22, 2020. Lectures will be held weekly on Wednesdays in Stanley 106 at 11:00 AM - 12:00 PM, through May 6.

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Creating intelligent microscopes: deep learning for single-shot autofocus microscopy

Henry Pinkard / December 10, 2019

A novel computational imaging autofocusing system for microscopes has been created utilizing an off-the-shelf LED and a machine learning algorithm that incorporates optical physics knowledge in its design.

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rOpenSci Announces a New Award From The Gordon and Betty Moore Foundation to Improve the Scientific Package Ecosystem for R

Karthik Ram / November 20, 2019

This article is cross-posted fromrOpenSci Announces a New Award From The Gordon and Betty Moore Foundation to Improve the Scientific Package Ecosystem for R November 6, 2019   |   Karthik Ram   |   ROpenSci Blog

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Berkeley team unveils a new, unified framework for selecting and evaluating interpretable machine learning methods

/ October 31, 2019

BIDS Senior Fellow Bin Yu — along with her current and former group members W. James Murdoch (Clientelligent), Chandan Singh, Karl Kumbier (UCSF), and Reza Abbasi-Asl (UCSF) — have recently published a paper on Definitions, methods, and applications in interpretable machine learning in PNAS.

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Outreachy mentoring via NumPy

Matti Picus / October 28, 2019

The Outreachy program provides internships to encourage diversity in the Free and Open Source Software communities. Over the summer of 2019, Sebastian Berg and Matti Picus mentored an intern, Kriti Singh, who contributed to low-level NumPy documentation.

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