pinboard November 28, 2021

• Aerial – A free and open-source Mac Screen Saver
• 2021 Remaster "While My Guitar Gently Weeps" with Prince, Tom Petty, Jeff Lynne and Steve Winwood – YouTube
• 'Get Back': Meet the Beatles As They Come Together One Last Time – Rolling Stone
• ‘The Beatles: Get Back’ is a New (Happy) Ending to a Story We All Know | Observer
• The Beatles were like aliens from the future in 1969 – and they are still as radical today | Jonathan Freedland
• A Cure for Type 1 Diabetes? For One Man, It Seems to Have Worked.
  A new treatment using stem cells that produce insulin has surprised experts and given them hope for the 1.5 million Americans living with the disease.
• Record, replay and measure user flows – Chrome Developers
• Getting Back to Normal Is Only Possible Until You Test Positive
• New FDA chief will face COVID woes and calls for drug-approval reform
  After long delay, US President Joe Biden picks Robert Califf to once again head the US Food and Drug Administration.
• Artificial intelligence powers protein-folding predictions
• espresso Display – espresso Displays
• Shop Waterless Haircare Essentials | Everist
• Nike FlyEase Slip On Shoes. Nike.com
• Why Are Ahmaud Arbery’s Killers So Scared?
• Why We Must Monitor the Sale of Surveillance Tech – The American Prospect
• Google AI Blog: Announcing WIT: A Wikipedia-Based Image-Text Dataset
  Multimodal visio-linguistic models rely on rich datasets in order to model the relationship between images and text. Traditionally, these datasets have been created by either manually captioning images, or crawling the web and extracting the alt-text as the caption. While the former approach tends to result in higher quality data, the intensive manual annotation process limits the amount of data that can be created. On the other hand, the automated extraction approach can lead to bigger datasets, but these require either heuristics and careful filtering to ensure data quality or scaling-up models to achieve strong performance. An additional shortcoming of existing datasets is the dearth of coverage in non-English languages. This naturally led us to ask: Can one overcome these limitations and create a high-quality, large-sized, multilingual dataset with a variety of content?

  Today we introduce the Wikipedia-Based Image Text (WIT) Dataset, a large multimodal dataset, created by extracting multiple different text selections associated with an image from Wikipedia articles and Wikimedia image links. This was accompanied by rigorous filtering to only retain high quality image-text sets. As detailed in “WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning”, presented at SIGIR ‘21, this resulted in a curated set of 37.5 million entity-rich image-text examples with 11.5 million unique images across 108 languages. The WIT dataset is available for download and use under the Creative Commons license. We are also excited to announce that we are hosting a competition with the WIT dataset in Kaggle in collaboration with Wikimedia Research and other external collaborators

• Spreadsheet Timeline
  Instantly generate a timeline to put in your spreadsheet
• Brewing your coffee in this travel thermos is easier than using a Nespresso – Yanko Design
• Review: Peter Jackson’s The Beatles: Get Back | Pitchfork
• Triumph for Indian Astronomers! Distinct Studies Discover a ‘Hot-Jupiter’ and Rare Stars Hotter Than Our Sun | The Weather Channel – Articles from The Weather Channel | weather.com
  A team of Ahemdabad-based astronomers has discovered a new exoplanet while Pune-based astronomers have identified a rare class of radio stars that are hotter than the Sun. – Articles from The Weather Channel | weather.com
• Reasons to Survive November by Tony Hoagland | The Writer's Almanac with Garrison Keillor
• Cloud Sock – Brother Vellies
• House Shorts – Hunter Green Boxers With Pockets | Jambys
• Follain Refillable Everything Soap – Clean Beauty | Follain
• The Beatles’ ‘Let It Be’: Glyn Johns Remembers
• Lennon Or McCartney?
  This used to be the question that was asked….”Who do you like better, Lennon or McCartney?”  I think it was meant to determine how cool you were.  Since Paul was considered the cu…

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