Monthly Archives: February 2019

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  • Given examples of labeled images in a training data set (e.g., cats vs dogs) we can create neural networks to identify the probability of a new picture containing one using GPUs.

Deep Learning Institute held at eScience

On Feb. 22 the UW Research Computing team hosted a Deep Learning Institute (DLI) on using machine learning for computer vision at the eScience Institute. The DLI was attended by a diverse set of participants ranging from students at the undergraduate level through full professors from departments within engineering, business, and medicine.

DLI attendees learned the […]

February 28th, 2019|Categories: News|Tags: , , , , , , |
  • The logo for the National Institutes of Health

Team receives NIH grant for Alzheimer’s disease research

Senior data science fellow Su-In Lee and collaborator Matt Kaeberlein have received a grant of just over $3 million from the National Institutes of Health for their project “Interpretable machine learning to identify Alzheimer’s disease therapeutic targets.” In the United States alone, someone receives an Alzheimer’s diagnosis every 66 seconds, and the disease has become the sixth leading […]

February 27th, 2019|Categories: News|Tags: , , , |
  • Race differences in evictions for select WA counties. Please reference https://evictions.study/results.html for the analysis of this graph.

Press release: Results from the UW Evictions Project

A team of University of Washington researchers including eScience postdoctoral fellow Timothy A. Thomas, Ott Toomet, Ian Kennedy, and Alex Ramiller, has released a report titled “The state of evictions: results from the University of Washington Evictions Project” as a living website that will be frequently updated with their work: https://evictions.study.

Washington is in the midst […]

  • Micaela Parker (left) and Sarah Stone enjoy a gathering at the WRF Data Science Studio. Photo, Robin Brooks

eScience executive leadership changes

Micaela Parker, eScience co-executive director with Sarah Stone, will be transitioning to a new position beginning the week of Feb. 11, 2019. Over the past year, she has been holding two joint appointments: as the eScience co-executive director and as the program coordinator for the Moore-Sloan Data Science Environments (MSDSE) where she has been spearheading the […]

February 7th, 2019|Categories: News|Tags: |