Generative AI warrants a whole lot more nuanced, considerate coverage like this IMO
RESEARCH
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Journal of Privacy and Confidentiality publishes TPDP 2021 papers
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A new issue of the Journal of Privacy and Confidentiality (
@JPrivConf
) was just published. Featuring a section I and @radcummings guest-edited on TPDP 2021 papers. Includes papers with @RuobinGong
, @RasmusPagh1
, @Kobbini and more. Check it out! https://
journalprivacyconfidentiality.org/index.php/jpc/
issue/view/112
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AI Predicts World Cup Soccer Game Outcomes and Goals
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Can #AI predict who wins a game? In a special project to celebrate the world’s biggest football/soccer tournament kicking off later this month, we set out to determine the likelihood of scoring a goal #2022WorldCup Learn more
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Differential Privacy Composition Basics Explained Accessibly
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A new technical post by Thomas Steinke (
@shortstein
) on @DiffPriv
, on the basics of composition. Very accessible! https://
differentialprivacy.org/composition-ba
sics/
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NeRF Zero to SOTA Tutorial at Hugging Face Paris
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I'm in Paris, FR this Thursday 11/3, ping me if you want to chat. I'll do an internal tutorial zero->SOTA on NeRF at Hugging Face, might extract a 5min video to share online from it if its exciting to people.
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Low engagement with research links highlights fact-checking importance
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666,000 people saw this thread. 535 clicked on one of the links I gave to a paper. The papers & research is all real, it isn’t a trick, I just am always amazed at how few people actually look at the research I post, especially one on the importance of fact-checking for yourself!
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Google Scholar’s critical role in modern scholarly research infrastructure
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I'd argue that Google Scholar plays a critical role in modern research. It is free, and it absolutely crushes every other scholarly search engine, including specialized ones Though it is a bit scary that it seems to be a tiny team & it exists only by the charity of Google…
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AI Drug Discovery: Calibrating Expectations with Reality
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#AI in drug discovery has incredible potential, but it remains hard and some of the hype may not be grounded in reality. Our CEO and founder @DaphneKoller spoke with @MaxGelman about why she believes the industry needs to calibrate people's expectations with what's possible. Endpoints News (@endpts) Despite a flood of companies entering the AI space, the field has little hard data to show for itself, at least as far as the public can see. And that begs the question: How much of the “AI revolution” is hype, and how much is grounded in reality? endpts.com/biopharma-has-hyp… — https://nitter.net/endpts/status/1496171266667073547#m
→ View original post on X — @daphnekoller, 2022-02-23 22:18 UTC
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Announcing redun: Open-source workflow framework for data scientists
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Excited to share redun with data scientists everywhere. We hope redun will help democratize data science at scale, and support robust, reproducible science. insitro (@insitro) We're excited to announce the open sourcing of redun, an expressive, efficient, and easy-to-use workflow framework designed to deal with complex, rapidly evolving scientific workflows spanning multiple data types. Read more here: insitro.medium.com/8b06b707a… — https://nitter.net/insitro/status/1456237571340652547#m
→ View original post on X — @daphnekoller, 2021-11-04 18:32 UTC