Fourier transform

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 6, 2019

This article is cross-posted from rOpenSci 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

Yu - Accuracy v interpretability graph

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.

NERSC's new Perlmutter supercomputer to be unveiled in 2020

/ October 2, 2019

The National Energy Research Scientific Computing Center (NERSC) will install its next major high-performance computing system, named for BIDS Faculty Director Saul Perlmutter, at Berkeley Lab in 2020. Perlmutter is a Berkeley Lab Physicist, and the director of UC Berkeley's Center for Cosmological Physics, who shared the 2011 Nobel Prize in Physics for his contributions to research showing that the expansion of the universe is accelerating.

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Collaboration Drives Data Science Workshop

/ September 12, 2019

September 12, 2019  |  Holly Auten  |  LLNL Data Science Institute News

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Jupyter meets the Earth: BIDS researchers receive NSF funding for EarthCube proposal

Fernando Pérez / September 10, 2019

This article is cross-posted from the Jupyter blog post Jupyter meets the Earth by Lindsey Heagy and Fernando Pérez on September 9, 2019.

Color-coded brain map

BIDS researchers find similarities in brain activity during listening and reading

Marsha Fenner / August 26, 2019

BIDS Alumni Fatma Deniz is the leader of a UC Berkeley research team in the lab of BIDS Senior Fellow Jack Gallant that has recently published a paper in the Journal of Neuroscience about the relationship between brain representations of information perceived by listening versus reading.