Can Image Analysis Assist in Early COVID-19 Detection?
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Berkeley Lab data scientist Daniela Ushizima is exploring whether image recognition algorithms and a data analysis pipeline can help accurately distinguish COVID-19 abnormalities in CT scans and chest X-rays from other overlapping respiratory illnesses.
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Using Machine Learning to Estimate COVID-19’s Seasonal Cycle
Berkeley Lab researchers have launched a project to determine if the novel coronavirus might be seasonal, waning in summer months and resurging in fall and winter.
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Summer Student Program Goes Virtual
Like many organizations adjusting to a changing work environment during the COVID-19 pandemic, Berkeley Lab’s Computing Sciences Area is transforming its 2020 summer student program into an entirely virtual experience.
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NERSC Time Capsule Set to Reveal 'Exotic Technology' from 2006
In 2006, NERSC staff filled two bright orange canisters with various bits of then-current technology and sealed them up to be opened at the SC20 Conference, scheduled for November 15-20.
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InTheKnow
- Registration is now open for NERSC's two-day GPUs for Science workshop, taking place virtually June 30 and July 1. Registration for general attendance closes June 28. Tutorials close June 23, but attendance is limited so attendees are advised to register earlier.
- The ACM's Gordon Bell Special Prize for HPC-Based COVID-19 Research is accepting nominations through October 8, 2020.
- ESnet, in conjunction with several national labs, recently released projections of future network requirements for several of its sites, focusing in particular on nuclear physics and related areas.
- Visit the CS Area events calendar to keep up to date on virtual events, yoga, ergo moments, and seminars.
- Got questions? The Lab’s COVID-19 website is a hub for information about remote working, ergonomics, office supplies, payroll, events, leadership communications, and more.
- A reminder: Please refer all media inquiries to CSA Communications Manager Carol Pott.
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Twitter: “You don't have to prove yourself to someone who is determined not to see your accomplishments. It's a big world out there with plenty of places for you to make your mark.” – @HPCgal
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