Sea Limited, the parent company of Shopee, Garena and SEA Money, announced today (March 2) its financial results for the fourth quarter and full year ended 31 December 2020. In 2020, Sea recorded a total GAAP revenue of US$ 4.4 billion, up 101.1 per cent year-on-year. Meanwhile, its total gross …
Read More »These M’sians Engineered A Stand Mixer That Solves Bakers’ Struggles With Limited Space
Author’s blurb: As someone who isn’t into cooking myself, I sure am into watching Masterchef and a whole lot of Buzzfeed’s Tasty, not to mention walking into kitchen appliance stores just to admire the cooking equipment. Justin Lim, too, shares this sentiment about cooking appliances despite not being an avid …
Read More »From Sea Limited To Grab: Here Are 8 Things I Learnt From Writing On Startups, Bizs In 2020
As each year reaches the end, it sparks me to sit down and reflect how the year has turned out so far. What have I gained and learnt? What can I take with me to the next year? After speaking to entrepreneurs and putting together stories on their business journeys, …
Read More »Limited Testing for Children Creates a Covid ‘Blind Spot’
Many coronavirus testing sites do not screen children. One that does, outside Chief Sealth High School in Seattle, swabbed 1-year-old Quentin Brown late last month. Credit…Elaine Thompson/Associated Press When Audrey Blute’s almost 2-year-old son, George, had a runny nose in July, she wanted to do what she felt was responsible: get …
Read More »Despite Big Promises, U.S. Has Delivered Limited Aid in Global Virus Response
WASHINGTON — The Trump administration has lauded itself as leading the world in confronting the coronavirus. But it has so far failed to spend more than 75 percent of the American humanitarian aid that Congress provided three months ago to help overseas victims of the virus. In two spending bills …
Read More »Google releases SimCLR, an AI framework that can classify images with limited labeled data
A team of Google researchers recently detailed a framework called SimCLR, which improves previous approaches to self-supervised learning, a family of techniques for converting an unsupervised learning problem (i.e., a problem in which AI models train on unlabeled data) into a supervised one by creating labels from unlabeled data sets. …
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